@article {1027, title = {Biomarkers of Inflammation and MRI-Defined Small Vessel Disease of the Brain: The Cardiovascular Health Study.}, journal = {Stroke}, volume = {39}, year = {2008}, month = {2008 Jul}, pages = {1952-9}, abstract = {

BACKGROUND AND PURPOSE: To clarify the role of inflammation in the pathogenesis of small vessel disease of the brain, we investigated the association between common variation in the C-reactive protein (CRP) and interleukin (IL)-6 genes, plasma CRP and IL6 levels, and presence of MRI-defined white matter lesions (WML) and brain infarcts (BI) in elderly participants of the Cardiovascular Health Study.

METHODS: Tag single nucleotide polymorphisms (SNPs) in the CRP and IL6 genes were selected from the SeattleSNPs database. In cross-sectional analyses, logistic regression models adjusting for known cardiovascular disease risk factors were constructed to assess the associations of plasma CRP and IL6 levels and common CRP and IL6 gene haplotypes with presence of WML or BI in Blacks (n=532) and Whites (n=2905).

RESULTS: Plasma IL6 and CRP levels were associated with presence of WML and BI in both races. In Whites, common haplotypes of the IL6 gene were significantly associated with WML and BI. The common haplotype tagged by the -174G/C promoter polymorphism was associated with an increased risk of WML (OR=1.14; 95\% CI: [1.02; 1.28]). The common haplotype tagged by the -572G/C promoter polymorphism was associated with an increased risk of BI (OR=1.57; 95\% CI: [1.15; 2.14]). Significant associations were lacking for WML or BI with IL6 gene variation in Blacks, or with CRP gene variation in either race.

CONCLUSIONS: This study provides evidence of a genetic basis underlying the relationship between plasma biomarkers of inflammation and small vessel disease of the brain. Further studies to elucidate the specific role of IL6 in disease pathogenesis are warranted.

}, keywords = {African Continental Ancestry Group, Aged, Biomarkers, Brain Infarction, C-Reactive Protein, Cohort Studies, European Continental Ancestry Group, Female, Haplotypes, Humans, Inflammation, Interleukin-6, Magnetic Resonance Imaging, Male, Polymorphism, Single Nucleotide}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.107.508135}, author = {Fornage, Myriam and Chiang, Y Aron and O{\textquoteright}Meara, Ellen S and Psaty, Bruce M and Reiner, Alexander P and Siscovick, David S and Tracy, Russell P and Longstreth, W T} } @article {1154, title = {Common coding variants of the HNF1A gene are associated with multiple cardiovascular risk phenotypes in community-based samples of younger and older European-American adults: the Coronary Artery Risk Development in Young Adults Study and The Cardiovascula}, journal = {Circ Cardiovasc Genet}, volume = {2}, year = {2009}, month = {2009 Jun}, pages = {244-54}, abstract = {

BACKGROUND: The transcription factor hepatocyte nuclear factor (HNF)-1 alpha regulates the activity of a number of genes involved in innate immunity, blood coagulation, lipid and glucose transport and metabolism, and cellular detoxification. Common polymorphisms of the HNF-1 alpha gene (HNF1A) were recently associated with plasma C-reactive protein and gamma-glutamyl transferase concentration in middle-aged to older European Americans (EA).

METHODS AND RESULTS: We assessed whether common variants of HNF1A are associated with C-reactive protein, gamma-glutamyl transferase, and other atherosclerotic and metabolic risk factors, in the large, population-based Coronary Artery Risk Development in Young Adults Study of healthy young EA (n=2154) and African American (AA; n=2083) adults. The minor alleles of Ile27Leu (rs1169288) and Ser486Asn (rs2464196) were associated with 0.10 to 0.15 standard deviation units lower C-reactive protein and gamma-glutamyl transferase levels in EA. The same HNF1A coding variants were associated with higher low-density lipoprotein cholesterol, apolipoprotein B, creatinine, and fibrinogen in EA. We replicated the associations between HNF1A coding variants and C-reactive protein, fibrinogen, low-density lipoprotein cholesterol, and renal function in a second population-based sample of EA adults 65 years and older from the Cardiovascular Health Study. The HNF1A Ser486Asn and/or Ile27Leu variants were also associated with increased risk of subclinical coronary atherosclerosis in Coronary Artery Risk Development in Young Adults and with incident coronary heart disease in Cardiovascular Health Study. The Ile27Leu and Ser486Asn variants were 3-fold less common in AA than in EA. There was little evidence of association between HNF1A genotype and atherosclerosis-related phenotypes in AA.

CONCLUSIONS: Common polymorphisms of HNF1A seem to influence multiple phenotypes related to cardiovascular risk in the general population of younger and older EA adults.

}, keywords = {Adolescent, Adult, African Americans, Aged, Aged, 80 and over, C-Reactive Protein, Cardiovascular Diseases, Cholesterol, LDL, Cohort Studies, European Continental Ancestry Group, Female, Fibrinogen, gamma-Glutamyltransferase, Genetic Predisposition to Disease, Genotype, Hepatocyte Nuclear Factor 1-alpha, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.108.839506}, author = {Reiner, Alexander P and Gross, Myron D and Carlson, Christopher S and Bielinski, Suzette J and Lange, Leslie A and Fornage, Myriam and Jenny, Nancy S and Walston, Jeremy and Tracy, Russell P and Williams, O Dale and Jacobs, David R and Nickerson, Deborah A} } @article {1092, title = {Genomewide association studies of stroke.}, journal = {N Engl J Med}, volume = {360}, year = {2009}, month = {2009 Apr 23}, pages = {1718-28}, abstract = {

BACKGROUND: The genes underlying the risk of stroke in the general population remain undetermined.

METHODS: We carried out an analysis of genomewide association data generated from four large cohorts composing the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, including 19,602 white persons (mean [+/-SD] age, 63+/-8 years) in whom 1544 incident strokes (1164 ischemic strokes) developed over an average follow-up of 11 years. We tested the markers most strongly associated with stroke in a replication cohort of 2430 black persons with 215 incident strokes (191 ischemic strokes), another cohort of 574 black persons with 85 incident strokes (68 ischemic strokes), and 652 Dutch persons with ischemic stroke and 3613 unaffected persons.

RESULTS: Two intergenic single-nucleotide polymorphisms on chromosome 12p13 and within 11 kb of the gene NINJ2 were associated with stroke (P<5x10(-8)). NINJ2 encodes an adhesion molecule expressed in glia and shows increased expression after nerve injury. Direct genotyping showed that rs12425791 was associated with an increased risk of total (i.e., all types) and ischemic stroke, with hazard ratios of 1.30 (95\% confidence interval [CI], 1.19 to 1.42) and 1.33 (95\% CI, 1.21 to 1.47), respectively, yielding population attributable risks of 11\% and 12\% in the discovery cohorts. Corresponding hazard ratios were 1.35 (95\% CI, 1.01 to 1.79; P=0.04) and 1.42 (95\% CI, 1.06 to 1.91; P=0.02) in the large cohort of black persons and 1.17 (95\% CI, 1.01 to 1.37; P=0.03) and 1.19 (95\% CI, 1.01 to 1.41; P=0.04) in the Dutch sample; the results of an underpowered analysis of the smaller black cohort were nonsignificant.

CONCLUSIONS: A genetic locus on chromosome 12p13 is associated with an increased risk of stroke.

}, keywords = {African Continental Ancestry Group, Aged, Chromosomes, Human, Pair 12, Cohort Studies, European Continental Ancestry Group, Female, Genetic Markers, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Proportional Hazards Models, Risk Factors, Stroke}, issn = {1533-4406}, doi = {10.1056/NEJMoa0900094}, author = {Ikram, M Arfan and Seshadri, Sudha and Bis, Joshua C and Fornage, Myriam and DeStefano, Anita L and Aulchenko, Yurii S and Debette, Stephanie and Lumley, Thomas and Folsom, Aaron R and van den Herik, Evita G and Bos, Michiel J and Beiser, Alexa and Cushman, Mary and Launer, Lenore J and Shahar, Eyal and Struchalin, Maksim and Du, Yangchun and Glazer, Nicole L and Rosamond, Wayne D and Rivadeneira, Fernando and Kelly-Hayes, Margaret and Lopez, Oscar L and Coresh, Josef and Hofman, Albert and DeCarli, Charles and Heckbert, Susan R and Koudstaal, Peter J and Yang, Qiong and Smith, Nicholas L and Kase, Carlos S and Rice, Kenneth and Haritunians, Talin and Roks, Gerwin and de Kort, Paul L M and Taylor, Kent D and de Lau, Lonneke M and Oostra, Ben A and Uitterlinden, Andr{\'e} G and Rotter, Jerome I and Boerwinkle, Eric and Psaty, Bruce M and Mosley, Thomas H and van Duijn, Cornelia M and Breteler, Monique M B and Longstreth, W T and Wolf, Philip A} } @article {1188, title = {Candidate gene association resource (CARe): design, methods, and proof of concept.}, journal = {Circ Cardiovasc Genet}, volume = {3}, year = {2010}, month = {2010 Jun}, pages = {267-75}, abstract = {

BACKGROUND: The National Heart, Lung, and Blood Institute{\textquoteright}s Candidate Gene Association Resource (CARe), a planned cross-cohort analysis of genetic variation in cardiovascular, pulmonary, hematologic, and sleep-related traits, comprises >40,000 participants representing 4 ethnic groups in 9 community-based cohorts. The goals of CARe include the discovery of new variants associated with traits using a candidate gene approach and the discovery of new variants using the genome-wide association mapping approach specifically in African Americans.

METHODS AND RESULTS: CARe has assembled DNA samples for >40,000 individuals self-identified as European American, African American, Hispanic, or Chinese American, with accompanying data on hundreds of phenotypes that have been standardized and deposited in the CARe Phenotype Database. All participants were genotyped for 7 single-nucleotide polymorphisms (SNPs) selected based on prior association evidence. We performed association analyses relating each of these SNPs to lipid traits, stratified by sex and ethnicity, and adjusted for age and age squared. In at least 2 of the ethnic groups, SNPs near CETP, LIPC, and LPL strongly replicated for association with high-density lipoprotein cholesterol concentrations, PCSK9 with low-density lipoprotein cholesterol levels, and LPL and APOA5 with serum triglycerides. Notably, some SNPs showed varying effect sizes and significance of association in different ethnic groups.

CONCLUSIONS: The CARe Pilot Study validates the operational framework for phenotype collection, SNP genotyping, and analytic pipeline of the CARe project and validates the planned candidate gene study of approximately 2000 biological candidate loci in all participants and genome-wide association study in approximately 8000 African American participants. CARe will serve as a valuable resource for the scientific community.

}, keywords = {African Americans, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Databases, Genetic, European Continental Ancestry Group, Genetic Association Studies, Genotype, Humans, Phenotype, Pilot Projects, Polymorphism, Single Nucleotide, Research Design, Triglycerides}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.109.882696}, author = {Musunuru, Kiran and Lettre, Guillaume and Young, Taylor and Farlow, Deborah N and Pirruccello, James P and Ejebe, Kenechi G and Keating, Brendan J and Yang, Qiong and Chen, Ming-Huei and Lapchyk, Nina and Crenshaw, Andrew and Ziaugra, Liuda and Rachupka, Anthony and Benjamin, Emelia J and Cupples, L Adrienne and Fornage, Myriam and Fox, Ervin R and Heckbert, Susan R and Hirschhorn, Joel N and Newton-Cheh, Christopher and Nizzari, Marcia M and Paltoo, Dina N and Papanicolaou, George J and Patel, Sanjay R and Psaty, Bruce M and Rader, Daniel J and Redline, Susan and Rich, Stephen S and Rotter, Jerome I and Taylor, Herman A and Tracy, Russell P and Vasan, Ramachandran S and Wilson, James G and Kathiresan, Sekar and Fabsitz, Richard R and Boerwinkle, Eric and Gabriel, Stacey B} } @article {1218, title = {Genetic ancestry in lung-function predictions.}, journal = {N Engl J Med}, volume = {363}, year = {2010}, month = {2010 Jul 22}, pages = {321-30}, abstract = {

BACKGROUND: Self-identified race or ethnic group is used to determine normal reference standards in the prediction of pulmonary function. We conducted a study to determine whether the genetically determined percentage of African ancestry is associated with lung function and whether its use could improve predictions of lung function among persons who identified themselves as African American.

METHODS: We assessed the ancestry of 777 participants self-identified as African American in the Coronary Artery Risk Development in Young Adults (CARDIA) study and evaluated the relation between pulmonary function and ancestry by means of linear regression. We performed similar analyses of data for two independent cohorts of subjects identifying themselves as African American: 813 participants in the Health, Aging, and Body Composition (HABC) study and 579 participants in the Cardiovascular Health Study (CHS). We compared the fit of two types of models to lung-function measurements: models based on the covariates used in standard prediction equations and models incorporating ancestry. We also evaluated the effect of the ancestry-based models on the classification of disease severity in two asthma-study populations.

RESULTS: African ancestry was inversely related to forced expiratory volume in 1 second (FEV(1)) and forced vital capacity in the CARDIA cohort. These relations were also seen in the HABC and CHS cohorts. In predicting lung function, the ancestry-based model fit the data better than standard models. Ancestry-based models resulted in the reclassification of asthma severity (based on the percentage of the predicted FEV(1)) in 4 to 5\% of participants.

CONCLUSIONS: Current predictive equations, which rely on self-identified race alone, may misestimate lung function among subjects who identify themselves as African American. Incorporating ancestry into normative equations may improve lung-function estimates and more accurately categorize disease severity. (Funded by the National Institutes of Health and others.)

}, keywords = {Adolescent, Adult, African Americans, Aged, Aged, 80 and over, Female, Forced Expiratory Volume, Genetic Markers, Genotype, Humans, Linear Models, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Reference Values, Respiratory Function Tests, Vital Capacity, Young Adult}, issn = {1533-4406}, doi = {10.1056/NEJMoa0907897}, author = {Kumar, Rajesh and Seibold, Max A and Aldrich, Melinda C and Williams, L Keoki and Reiner, Alex P and Colangelo, Laura and Galanter, Joshua and Gignoux, Christopher and Hu, Donglei and Sen, Saunak and Choudhry, Shweta and Peterson, Edward L and Rodriguez-Santana, Jose and Rodriguez-Cintron, William and Nalls, Michael A and Leak, Tennille S and O{\textquoteright}Meara, Ellen and Meibohm, Bernd and Kritchevsky, Stephen B and Li, Rongling and Harris, Tamara B and Nickerson, Deborah A and Fornage, Myriam and Enright, Paul and Ziv, Elad and Smith, Lewis J and Liu, Kiang and Burchard, Esteban Gonz{\'a}lez} } @article {1156, title = {Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE Consortium.}, journal = {Stroke}, volume = {41}, year = {2010}, month = {2010 Feb}, pages = {210-7}, abstract = {

BACKGROUND AND PURPOSE: Previous studies examining genetic associations with MRI-defined brain infarct have yielded inconsistent findings. We investigated genetic variation underlying covert MRI infarct in persons without histories of transient ischemic attack or stroke. We performed meta-analysis of genome-wide association studies of white participants in 6 studies comprising the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

METHODS: Using 2.2 million genotyped and imputed single nucleotide polymorphisms, each study performed cross-sectional genome-wide association analysis of MRI infarct using age- and sex-adjusted logistic regression models. Study-specific findings were combined in an inverse-variance-weighted meta-analysis, including 9401 participants with mean age 69.7 (19.4\% of whom had >or=1 MRI infarct).

RESULTS: The most significant association was found with rs2208454 (minor allele frequency, 20\%), located in intron 3 of MACRO domain containing 2 gene and in the downstream region of fibronectin leucine-rich transmembrane protein 3 gene. Each copy of the minor allele was associated with lower risk of MRI infarcts (odds ratio, 0.76; 95\% confidence interval, 0.68-0.84; P=4.64x10(-7)). Highly suggestive associations (P<1.0x10(-5)) were also found for 22 other single nucleotide polymorphisms in linkage disequilibrium (r(2)>0.64) with rs2208454. The association with rs2208454 did not replicate in independent samples of 1822 white and 644 black participants, although 4 single nucleotide polymorphisms within 200 kb from rs2208454 were associated with MRI infarcts in the black population sample.

CONCLUSIONS: This first community-based, genome-wide association study on covert MRI infarcts uncovered novel associations. Although replication of the association with top single nucleotide polymorphisms failed, possibly because of insufficient power, results in the black population sample are encouraging, and further efforts at replication are needed.

}, keywords = {African Americans, Aged, Brain, Brain Infarction, Cohort Studies, DNA Mutational Analysis, Female, Gene Frequency, Genetic Markers, Genetic Predisposition to Disease, Genetic Testing, Genetic Variation, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Magnetic Resonance Imaging, Male, Middle Aged, Polymorphism, Single Nucleotide, Prospective Studies}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.109.569194}, author = {Debette, Stephanie and Bis, Joshua C and Fornage, Myriam and Schmidt, Helena and Ikram, M Arfan and Sigurdsson, Sigurdur and Heiss, Gerardo and Struchalin, Maksim and Smith, Albert V and van der Lugt, Aad and DeCarli, Charles and Lumley, Thomas and Knopman, David S and Enzinger, Christian and Eiriksdottir, Gudny and Koudstaal, Peter J and DeStefano, Anita L and Psaty, Bruce M and Dufouil, Carole and Catellier, Diane J and Fazekas, Franz and Aspelund, Thor and Aulchenko, Yurii S and Beiser, Alexa and Rotter, Jerome I and Tzourio, Christophe and Shibata, Dean K and Tscherner, Maria and Harris, Tamara B and Rivadeneira, Fernando and Atwood, Larry D and Rice, Kenneth and Gottesman, Rebecca F and van Buchem, Mark A and Uitterlinden, Andr{\'e} G and Kelly-Hayes, Margaret and Cushman, Mary and Zhu, Yicheng and Boerwinkle, Eric and Gudnason, Vilmundur and Hofman, Albert and Romero, Jose R and Lopez, Oscar and van Duijn, Cornelia M and Au, Rhoda and Heckbert, Susan R and Wolf, Philip A and Mosley, Thomas H and Seshadri, Sudha and Breteler, Monique M B and Schmidt, Reinhold and Launer, Lenore J and Longstreth, W T} } @article {1288, title = {Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Apr}, pages = {e1001371}, abstract = {

While genome-wide association studies (GWAS) have primarily examined populations of European ancestry, more recent studies often involve additional populations, including admixed populations such as African Americans and Latinos. In admixed populations, linkage disequilibrium (LD) exists both at a fine scale in ancestral populations and at a coarse scale (admixture-LD) due to chromosomal segments of distinct ancestry. Disease association statistics in admixed populations have previously considered SNP association (LD mapping) or admixture association (mapping by admixture-LD), but not both. Here, we introduce a new statistical framework for combining SNP and admixture association in case-control studies, as well as methods for local ancestry-aware imputation. We illustrate the gain in statistical power achieved by these methods by analyzing data of 6,209 unrelated African Americans from the CARe project genotyped on the Affymetrix 6.0 chip, in conjunction with both simulated and real phenotypes, as well as by analyzing the FGFR2 locus using breast cancer GWAS data from 5,761 African-American women. We show that, at typed SNPs, our method yields an 8\% increase in statistical power for finding disease risk loci compared to the power achieved by standard methods in case-control studies. At imputed SNPs, we observe an 11\% increase in statistical power for mapping disease loci when our local ancestry-aware imputation framework and the new scoring statistic are jointly employed. Finally, we show that our method increases statistical power in regions harboring the causal SNP in the case when the causal SNP is untyped and cannot be imputed. Our methods and our publicly available software are broadly applicable to GWAS in admixed populations.

}, keywords = {African Americans, Algorithms, Breast Neoplasms, Chromosome Mapping, Coronary Disease, Diabetes Mellitus, Type 2, Female, Gene Frequency, Genetic Variation, Genetics, Population, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Male, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Principal Component Analysis, Receptor, Fibroblast Growth Factor, Type 2, Software}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1001371}, author = {Pasaniuc, Bogdan and Zaitlen, Noah and Lettre, Guillaume and Chen, Gary K and Tandon, Arti and Kao, W H Linda and Ruczinski, Ingo and Fornage, Myriam and Siscovick, David S and Zhu, Xiaofeng and Larkin, Emma and Lange, Leslie A and Cupples, L Adrienne and Yang, Qiong and Akylbekova, Ermeg L and Musani, Solomon K and Divers, Jasmin and Mychaleckyj, Joe and Li, Mingyao and Papanicolaou, George J and Millikan, Robert C and Ambrosone, Christine B and John, Esther M and Bernstein, Leslie and Zheng, Wei and Hu, Jennifer J and Ziegler, Regina G and Nyante, Sarah J and Bandera, Elisa V and Ingles, Sue A and Press, Michael F and Chanock, Stephen J and Deming, Sandra L and Rodriguez-Gil, Jorge L and Palmer, Cameron D and Buxbaum, Sarah and Ekunwe, Lynette and Hirschhorn, Joel N and Henderson, Brian E and Myers, Simon and Haiman, Christopher A and Reich, David and Patterson, Nick and Wilson, James G and Price, Alkes L} } @article {1303, title = {Genetic determinants of lipid traits in diverse populations from the population architecture using genomics and epidemiology (PAGE) study.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002138}, abstract = {

For the past five years, genome-wide association studies (GWAS) have identified hundreds of common variants associated with human diseases and traits, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels. Approximately 95 loci associated with lipid levels have been identified primarily among populations of European ancestry. The Population Architecture using Genomics and Epidemiology (PAGE) study was established in 2008 to characterize GWAS-identified variants in diverse population-based studies. We genotyped 49 GWAS-identified SNPs associated with one or more lipid traits in at least two PAGE studies and across six racial/ethnic groups. We performed a meta-analysis testing for SNP associations with fasting HDL-C, LDL-C, and ln(TG) levels in self-identified European American (~20,000), African American (~9,000), American Indian (~6,000), Mexican American/Hispanic (~2,500), Japanese/East Asian (~690), and Pacific Islander/Native Hawaiian (~175) adults, regardless of lipid-lowering medication use. We replicated 55 of 60 (92\%) SNP associations tested in European Americans at p<0.05. Despite sufficient power, we were unable to replicate ABCA1 rs4149268 and rs1883025, CETP rs1864163, and TTC39B rs471364 previously associated with HDL-C and MAFB rs6102059 previously associated with LDL-C. Based on significance (p<0.05) and consistent direction of effect, a majority of replicated genotype-phentoype associations for HDL-C, LDL-C, and ln(TG) in European Americans generalized to African Americans (48\%, 61\%, and 57\%), American Indians (45\%, 64\%, and 77\%), and Mexican Americans/Hispanics (57\%, 56\%, and 86\%). Overall, 16 associations generalized across all three populations. For the associations that did not generalize, differences in effect sizes, allele frequencies, and linkage disequilibrium offer clues to the next generation of association studies for these traits.

}, keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Continental Population Groups, Female, Gene Frequency, Genetics, Population, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Lipid Metabolism, Lipoproteins, HDL, Lipoproteins, LDL, Male, Middle Aged, Molecular Epidemiology, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Triglycerides, Young Adult}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002138}, author = {Dumitrescu, Logan and Carty, Cara L and Taylor, Kira and Schumacher, Fredrick R and Hindorff, Lucia A and Ambite, Jos{\'e} L and Anderson, Garnet and Best, Lyle G and Brown-Gentry, Kristin and B{\r u}zkov{\'a}, Petra and Carlson, Christopher S and Cochran, Barbara and Cole, Shelley A and Devereux, Richard B and Duggan, Dave and Eaton, Charles B and Fornage, Myriam and Franceschini, Nora and Haessler, Jeff and Howard, Barbara V and Johnson, Karen C and Laston, Sandra and Kolonel, Laurence N and Lee, Elisa T and MacCluer, Jean W and Manolio, Teri A and Pendergrass, Sarah A and Quibrera, Miguel and Shohet, Ralph V and Wilkens, Lynne R and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Buyske, Steven and Kooperberg, Charles and North, Kari E and Crawford, Dana C} } @article {1311, title = {Genetic loci associated with plasma phospholipid n-3 fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Jul}, pages = {e1002193}, abstract = {

Long-chain n-3 polyunsaturated fatty acids (PUFAs) can derive from diet or from α-linolenic acid (ALA) by elongation and desaturation. We investigated the association of common genetic variation with plasma phospholipid levels of the four major n-3 PUFAs by performing genome-wide association studies in five population-based cohorts comprising 8,866 subjects of European ancestry. Minor alleles of SNPs in FADS1 and FADS2 (desaturases) were associated with higher levels of ALA (p = 3 x 10$^{-}$$^{6}$$^{4}$) and lower levels of eicosapentaenoic acid (EPA, p = 5 x 10$^{-}$$^{5}$$^{8}$) and docosapentaenoic acid (DPA, p = 4 x 10$^{-}${\textonesuperior}$^{5}$$^{4}$). Minor alleles of SNPs in ELOVL2 (elongase) were associated with higher EPA (p = 2 x 10$^{-}${\textonesuperior}{\texttwosuperior}) and DPA (p = 1 x 10$^{-}$$^{4}${\textthreesuperior}) and lower docosahexaenoic acid (DHA, p = 1 x 10$^{-}${\textonesuperior}$^{5}$). In addition to genes in the n-3 pathway, we identified a novel association of DPA with several SNPs in GCKR (glucokinase regulator, p = 1 x 10$^{-}$$^{8}$). We observed a weaker association between ALA and EPA among carriers of the minor allele of a representative SNP in FADS2 (rs1535), suggesting a lower rate of ALA-to-EPA conversion in these subjects. In samples of African, Chinese, and Hispanic ancestry, associations of n-3 PUFAs were similar with a representative SNP in FADS1 but less consistent with a representative SNP in ELOVL2. Our findings show that common variation in n-3 metabolic pathway genes and in GCKR influences plasma phospholipid levels of n-3 PUFAs in populations of European ancestry and, for FADS1, in other ancestries.

}, keywords = {Alleles, Continental Population Groups, Fatty Acids, Omega-3, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Metabolic Networks and Pathways, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002193}, author = {Lemaitre, Rozenn N and Tanaka, Toshiko and Tang, Weihong and Manichaikul, Ani and Foy, Millennia and Kabagambe, Edmond K and Nettleton, Jennifer A and King, Irena B and Weng, Lu-Chen and Bhattacharya, Sayanti and Bandinelli, Stefania and Bis, Joshua C and Rich, Stephen S and Jacobs, David R and Cherubini, Antonio and McKnight, Barbara and Liang, Shuang and Gu, Xiangjun and Rice, Kenneth and Laurie, Cathy C and Lumley, Thomas and Browning, Brian L and Psaty, Bruce M and Chen, Yii-der I and Friedlander, Yechiel and Djouss{\'e}, Luc and Wu, Jason H Y and Siscovick, David S and Uitterlinden, Andr{\'e} G and Arnett, Donna K and Ferrucci, Luigi and Fornage, Myriam and Tsai, Michael Y and Mozaffarian, Dariush and Steffen, Lyn M} } @article {1343, title = {Genetic variants of the NOTCH3 gene in the elderly and magnetic resonance imaging correlates of age-related cerebral small vessel disease.}, journal = {Brain}, volume = {134}, year = {2011}, month = {2011 Nov}, pages = {3384-97}, abstract = {

Cerebral small vessel disease-related brain lesions such as white matter lesions and lacunes are common findings of magnetic resonance imaging in the elderly. These lesions are thought to be major contributors to disability in old age, and risk factors that include age and hypertension have been established. The radiological, histopathologic and clinical phenotypes of age-related cerebral small vessel disease remarkably resemble autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy, which is caused by mutations in NOTCH3. We hypothesized that genetic variations in NOTCH3 also play a role in age-related cerebral small vessel disease. We directly sequenced all 33 exons, the promoter and 3{\textquoteright}-untranslated region of NOTCH3 in 195 participants with either coalescent white matter lesions or lacunes and compared the results to 82 randomly selected participants with no focal changes on magnetic resonance images in the Austrian Stroke Prevention Study. We detected nine common and 33 rare single nucleotide polymorphisms, of which 20 were novel. All common single nucleotide polymorphisms were genotyped in the entire cohort (n = 888), and four of them, rs1043994, rs10404382, rs10423702 and rs1043997, were associated significantly with both the presence and progression of white matter lesions. The association was confined to hypertensives, a result which we replicated in the Cohorts for Heart and Ageing Research in Genomic Epidemiology Consortium on an independent sample of 4773 stroke-free hypertensive elderly individuals of European descent (P = 0.04). The 33 rare single nucleotide polymorphisms were scattered over the NOTCH3 gene with three being located in the promoter region, 24 in exons (18 non-synonymous), three in introns and three in the 3{\textquoteright}-untranslated region. None of the single nucleotide polymorphisms affected a cysteine residue. Sorting Intolerant From Tolerant, PolyPhen2 analyses and protein structure simulation consistently predicted six of the non-synonymous single nucleotide polymorphisms (H170R, P496L, V1183M, L1518M, D1823N and V1952M) to be functional, with four being exclusively or mainly detected in subjects with severe white matter lesions. In four individuals with rare non-synonymous single nucleotide polymorphisms, we noted anterior temporal lobe hyperintensity, hyperintensity in the external capsule, lacunar infarcts or subcortical lacunar lesions. None of the observed abnormalities were specific to cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy. This is the first comprehensive study investigating (i) the frequency of NOTCH3 variations in community-dwelling elderly and (ii) their effect on cerebral small vessel disease related magnetic resonance imaging phenotypes. We show that the NOTCH3 gene is highly variable with both common and rare single nucleotide polymorphisms spreading across the gene, and that common variants at the NOTCH3 gene increase the risk of age-related white matter lesions in hypertensives. Additional investigations are required to explore the biological mechanisms underlying the observed association.

}, keywords = {Aged, Aged, 80 and over, Alleles, Brain, Cerebral Small Vessel Diseases, Exons, Female, Follow-Up Studies, Genetic Association Studies, Genotype, Humans, Hypertension, Magnetic Resonance Imaging, Male, Middle Aged, Phenotype, Promoter Regions, Genetic, Prospective Studies, Receptor, Notch3, Receptors, Notch}, issn = {1460-2156}, doi = {10.1093/brain/awr252}, author = {Schmidt, Helena and Zeginigg, Marion and Wiltgen, Marco and Freudenberger, Paul and Petrovic, Katja and Cavalieri, Margherita and Gider, Pierre and Enzinger, Christian and Fornage, Myriam and Debette, Stephanie and Rotter, Jerome I and Ikram, Mohammad A and Launer, Lenore J and Schmidt, Reinhold} } @article {6096, title = {Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 25}, pages = {1082-90}, abstract = {

Pulmonary function measures reflect respiratory health and are used in the diagnosis of chronic obstructive pulmonary disease. We tested genome-wide association with forced expiratory volume in 1 second and the ratio of forced expiratory volume in 1 second to forced vital capacity in 48,201 individuals of European ancestry with follow up of the top associations in up to an additional 46,411 individuals. We identified new regions showing association (combined P < 5 {\texttimes} 10(-8)) with pulmonary function in or near MFAP2, TGFB2, HDAC4, RARB, MECOM (also known as EVI1), SPATA9, ARMC2, NCR3, ZKSCAN3, CDC123, C10orf11, LRP1, CCDC38, MMP15, CFDP1 and KCNE2. Identification of these 16 new loci may provide insight into the molecular mechanisms regulating pulmonary function and into molecular targets for future therapy to alleviate reduced lung function.

}, keywords = {Child, European Continental Ancestry Group, Genome-Wide Association Study, Humans, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests}, issn = {1546-1718}, doi = {10.1038/ng.941}, author = {Soler Artigas, Maria and Loth, Daan W and Wain, Louise V and Gharib, Sina A and Obeidat, Ma{\textquoteright}en and Tang, Wenbo and Zhai, Guangju and Zhao, Jing Hua and Smith, Albert Vernon and Huffman, Jennifer E and Albrecht, Eva and Jackson, Catherine M and Evans, David M and Cadby, Gemma and Fornage, Myriam and Manichaikul, Ani and Lopez, Lorna M and Johnson, Toby and Aldrich, Melinda C and Aspelund, Thor and Barroso, In{\^e}s and Campbell, Harry and Cassano, Patricia A and Couper, David J and Eiriksdottir, Gudny and Franceschini, Nora and Garcia, Melissa and Gieger, Christian and Gislason, Gauti Kjartan and Grkovic, Ivica and Hammond, Christopher J and Hancock, Dana B and Harris, Tamara B and Ramasamy, Adaikalavan and Heckbert, Susan R and Heli{\"o}vaara, Markku and Homuth, Georg and Hysi, Pirro G and James, Alan L and Jankovic, Stipan and Joubert, Bonnie R and Karrasch, Stefan and Klopp, Norman and Koch, Beate and Kritchevsky, Stephen B and Launer, Lenore J and Liu, Yongmei and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Lumley, Thomas and Al Balushi, Khalid A and Ang, Wei Q and Barr, R Graham and Beilby, John and Blakey, John D and Boban, Mladen and Boraska, Vesna and Brisman, Jonas and Britton, John R and Brusselle, Guy G and Cooper, Cyrus and Curjuric, Ivan and Dahgam, Santosh and Deary, Ian J and Ebrahim, Shah and Eijgelsheim, Mark and Francks, Clyde and Gaysina, Darya and Granell, Raquel and Gu, Xiangjun and Hankinson, John L and Hardy, Rebecca and Harris, Sarah E and Henderson, John and Henry, Amanda and Hingorani, Aroon D and Hofman, Albert and Holt, Patrick G and Hui, Jennie and Hunter, Michael L and Imboden, Medea and Jameson, Karen A and Kerr, Shona M and Kolcic, Ivana and Kronenberg, Florian and Liu, Jason Z and Marchini, Jonathan and McKeever, Tricia and Morris, Andrew D and Olin, Anna-Carin and Porteous, David J and Postma, Dirkje S and Rich, Stephen S and Ring, Susan M and Rivadeneira, Fernando and Rochat, Thierry and Sayer, Avan Aihie and Sayers, Ian and Sly, Peter D and Smith, George Davey and Sood, Akshay and Starr, John M and Uitterlinden, Andr{\'e} G and Vonk, Judith M and Wannamethee, S Goya and Whincup, Peter H and Wijmenga, Cisca and Williams, O Dale and Wong, Andrew and Mangino, Massimo and Marciante, Kristin D and McArdle, Wendy L and Meibohm, Bernd and Morrison, Alanna C and North, Kari E and Omenaas, Ernst and Palmer, Lyle J and Pietil{\"a}inen, Kirsi H and Pin, Isabelle and Pola Sbreve Ek, Ozren and Pouta, Anneli and Psaty, Bruce M and Hartikainen, Anna-Liisa and Rantanen, Taina and Ripatti, Samuli and Rotter, Jerome I and Rudan, Igor and Rudnicka, Alicja R and Schulz, Holger and Shin, So-Youn and Spector, Tim D and Surakka, Ida and Vitart, Veronique and V{\"o}lzke, Henry and Wareham, Nicholas J and Warrington, Nicole M and Wichmann, H-Erich and Wild, Sarah H and Wilk, Jemma B and Wjst, Matthias and Wright, Alan F and Zgaga, Lina and Zemunik, Tatijana and Pennell, Craig E and Nyberg, Fredrik and Kuh, Diana and Holloway, John W and Boezen, H Marike and Lawlor, Debbie A and Morris, Richard W and Probst-Hensch, Nicole and Kaprio, Jaakko and Wilson, James F and Hayward, Caroline and K{\"a}h{\"o}nen, Mika and Heinrich, Joachim and Musk, Arthur W and Jarvis, Deborah L and Gl{\"a}ser, Sven and Jarvelin, Marjo-Riitta and Ch Stricker, Bruno H and Elliott, Paul and O{\textquoteright}Connor, George T and Strachan, David P and London, Stephanie J and Hall, Ian P and Gudnason, Vilmundur and Tobin, Martin D} } @article {1298, title = {Genome-wide association studies of cerebral white matter lesion burden: the CHARGE consortium.}, journal = {Ann Neurol}, volume = {69}, year = {2011}, month = {2011 Jun}, pages = {928-39}, abstract = {

OBJECTIVE: White matter hyperintensities (WMHs) detectable by magnetic resonance imaging are part of the spectrum of vascular injury associated with aging of the brain and are thought to reflect ischemic damage to the small deep cerebral vessels. WMHs are associated with an increased risk of cognitive and motor dysfunction, dementia, depression, and stroke. Despite a significant heritability, few genetic loci influencing WMH burden have been identified.

METHODS: We performed a meta-analysis of genome-wide association studies (GWASs) for WMH burden in 9,361 stroke-free individuals of European descent from 7 community-based cohorts. Significant findings were tested for replication in 3,024 individuals from 2 additional cohorts.

RESULTS: We identified 6 novel risk-associated single nucleotide polymorphisms (SNPs) in 1 locus on chromosome 17q25 encompassing 6 known genes including WBP2, TRIM65, TRIM47, MRPL38, FBF1, and ACOX1. The most significant association was for rs3744028 (p(discovery) = 4.0 {\texttimes} 10(-9) ; p(replication) = 1.3 {\texttimes} 10(-7) ; p(combined) = 4.0 {\texttimes} 10(-15) ). Other SNPs in this region also reaching genome-wide significance were rs9894383 (p = 5.3 {\texttimes} 10(-9) ), rs11869977 (p = 5.7 {\texttimes} 10(-9) ), rs936393 (p = 6.8 {\texttimes} 10(-9) ), rs3744017 (p = 7.3 {\texttimes} 10(-9) ), and rs1055129 (p = 4.1 {\texttimes} 10(-8) ). Variant alleles at these loci conferred a small increase in WMH burden (4-8\% of the overall mean WMH burden in the sample).

INTERPRETATION: This large GWAS of WMH burden in community-based cohorts of individuals of European descent identifies a novel locus on chromosome 17. Further characterization of this locus may provide novel insights into the pathogenesis of cerebral WMH.

}, keywords = {Aged, Aged, 80 and over, Cerebral Cortex, Chromosomes, Human, Pair 17, Cognition Disorders, Cohort Studies, European Continental Ancestry Group, Female, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Leukoencephalopathies, Magnetic Resonance Imaging, Male, Middle Aged, Movement Disorders, Nerve Fibers, Myelinated, Polymorphism, Single Nucleotide, Residence Characteristics, RNA, Messenger}, issn = {1531-8249}, doi = {10.1002/ana.22403}, author = {Fornage, Myriam and Debette, Stephanie and Bis, Joshua C and Schmidt, Helena and Ikram, M Arfan and Dufouil, Carole and Sigurdsson, Sigurdur and Lumley, Thomas and DeStefano, Anita L and Fazekas, Franz and Vrooman, Henri A and Shibata, Dean K and Maillard, Pauline and Zijdenbos, Alex and Smith, Albert V and Gudnason, Haukur and de Boer, Renske and Cushman, Mary and Mazoyer, Bernard and Heiss, Gerardo and Vernooij, Meike W and Enzinger, Christian and Glazer, Nicole L and Beiser, Alexa and Knopman, David S and Cavalieri, Margherita and Niessen, Wiro J and Harris, Tamara B and Petrovic, Katja and Lopez, Oscar L and Au, Rhoda and Lambert, Jean-Charles and Hofman, Albert and Gottesman, Rebecca F and Garcia, Melissa and Heckbert, Susan R and Atwood, Larry D and Catellier, Diane J and Uitterlinden, Andr{\'e} G and Yang, Qiong and Smith, Nicholas L and Aspelund, Thor and Romero, Jose R and Rice, Kenneth and Taylor, Kent D and Nalls, Michael A and Rotter, Jerome I and Sharrett, Richey and van Duijn, Cornelia M and Amouyel, Philippe and Wolf, Philip A and Gudnason, Vilmundur and van der Lugt, Aad and Boerwinkle, Eric and Psaty, Bruce M and Seshadri, Sudha and Tzourio, Christophe and Breteler, Monique M B and Mosley, Thomas H and Schmidt, Reinhold and Longstreth, W T and DeCarli, Charles and Launer, Lenore J} } @article {1324, title = {Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure.}, journal = {Nat Genet}, volume = {43}, year = {2011}, month = {2011 Sep 11}, pages = {1005-11}, abstract = {

Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 {\texttimes} 10(-8) to P = 2.3 {\texttimes} 10(-13)) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.

}, keywords = {Arteries, Blood Pressure, Case-Control Studies, Follow-Up Studies, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Linkage Disequilibrium, Polymorphism, Single Nucleotide}, issn = {1546-1718}, doi = {10.1038/ng.922}, author = {Wain, Louise V and Verwoert, Germaine C and O{\textquoteright}Reilly, Paul F and Shi, Gang and Johnson, Toby and Johnson, Andrew D and Bochud, Murielle and Rice, Kenneth M and Henneman, Peter and Smith, Albert V and Ehret, Georg B and Amin, Najaf and Larson, Martin G and Mooser, Vincent and Hadley, David and D{\"o}rr, Marcus and Bis, Joshua C and Aspelund, Thor and Esko, T{\~o}nu and Janssens, A Cecile J W and Zhao, Jing Hua and Heath, Simon and Laan, Maris and Fu, Jingyuan and Pistis, Giorgio and Luan, Jian{\textquoteright}an and Arora, Pankaj and Lucas, Gavin and Pirastu, Nicola and Pichler, Irene and Jackson, Anne U and Webster, Rebecca J and Zhang, Feng and Peden, John F and Schmidt, Helena and Tanaka, Toshiko and Campbell, Harry and Igl, Wilmar and Milaneschi, Yuri and Hottenga, Jouke-Jan and Vitart, Veronique and Chasman, Daniel I and Trompet, Stella and Bragg-Gresham, Jennifer L and Alizadeh, Behrooz Z and Chambers, John C and Guo, Xiuqing and Lehtim{\"a}ki, Terho and Kuhnel, Brigitte and Lopez, Lorna M and Polasek, Ozren and Boban, Mladen and Nelson, Christopher P and Morrison, Alanna C and Pihur, Vasyl and Ganesh, Santhi K and Hofman, Albert and Kundu, Suman and Mattace-Raso, Francesco U S and Rivadeneira, Fernando and Sijbrands, Eric J G and Uitterlinden, Andr{\'e} G and Hwang, Shih-Jen and Vasan, Ramachandran S and Wang, Thomas J and Bergmann, Sven and Vollenweider, Peter and Waeber, G{\'e}rard and Laitinen, Jaana and Pouta, Anneli and Zitting, Paavo and McArdle, Wendy L and Kroemer, Heyo K and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Glazer, Nicole L and Taylor, Kent D and Harris, Tamara B and Alavere, Helene and Haller, Toomas and Keis, Aime and Tammesoo, Mari-Liis and Aulchenko, Yurii and Barroso, In{\^e}s and Khaw, Kay-Tee and Galan, Pilar and Hercberg, Serge and Lathrop, Mark and Eyheramendy, Susana and Org, Elin and S{\~o}ber, Siim and Lu, Xiaowen and Nolte, Ilja M and Penninx, Brenda W and Corre, Tanguy and Masciullo, Corrado and Sala, Cinzia and Groop, Leif and Voight, Benjamin F and Melander, Olle and O{\textquoteright}Donnell, Christopher J and Salomaa, Veikko and d{\textquoteright}Adamo, Adamo Pio and Fabretto, Antonella and Faletra, Flavio and Ulivi, Sheila and Del Greco, Fabiola M and Facheris, Maurizio and Collins, Francis S and Bergman, Richard N and Beilby, John P and Hung, Joseph and Musk, A William and Mangino, Massimo and Shin, So-Youn and Soranzo, Nicole and Watkins, Hugh and Goel, Anuj and Hamsten, Anders and Gider, Pierre and Loitfelder, Marisa and Zeginigg, Marion and Hernandez, Dena and Najjar, Samer S and Navarro, Pau and Wild, Sarah H and Corsi, Anna Maria and Singleton, Andrew and de Geus, Eco J C and Willemsen, Gonneke and Parker, Alex N and Rose, Lynda M and Buckley, Brendan and Stott, David and Orr{\`u}, Marco and Uda, Manuela and van der Klauw, Melanie M and Zhang, Weihua and Li, Xinzhong and Scott, James and Chen, Yii-Der Ida and Burke, Gregory L and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and D{\"o}ring, Angela and Meitinger, Thomas and Davies, Gail and Starr, John M and Emilsson, Valur and Plump, Andrew and Lindeman, Jan H and Hoen, Peter A C {\textquoteright}t and K{\"o}nig, Inke R and Felix, Janine F and Clarke, Robert and Hopewell, Jemma C and Ongen, Halit and Breteler, Monique and Debette, Stephanie and DeStefano, Anita L and Fornage, Myriam and Mitchell, Gary F and Smith, Nicholas L and Holm, Hilma and Stefansson, Kari and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Samani, Nilesh J and Preuss, Michael and Rudan, Igor and Hayward, Caroline and Deary, Ian J and Wichmann, H-Erich and Raitakari, Olli T and Palmas, Walter and Kooner, Jaspal S and Stolk, Ronald P and Jukema, J Wouter and Wright, Alan F and Boomsma, Dorret I and Bandinelli, Stefania and Gyllensten, Ulf B and Wilson, James F and Ferrucci, Luigi and Schmidt, Reinhold and Farrall, Martin and Spector, Tim D and Palmer, Lyle J and Tuomilehto, Jaakko and Pfeufer, Arne and Gasparini, Paolo and Siscovick, David and Altshuler, David and Loos, Ruth J F and Toniolo, Daniela and Snieder, Harold and Gieger, Christian and Meneton, Pierre and Wareham, Nicholas J and Oostra, Ben A and Metspalu, Andres and Launer, Lenore and Rettig, Rainer and Strachan, David P and Beckmann, Jacques S and Witteman, Jacqueline C M and Erdmann, Jeanette and van Dijk, Ko Willems and Boerwinkle, Eric and Boehnke, Michael and Ridker, Paul M and Jarvelin, Marjo-Riitta and Chakravarti, Aravinda and Abecasis, Goncalo R and Gudnason, Vilmundur and Newton-Cheh, Christopher and Levy, Daniel and Munroe, Patricia B and Psaty, Bruce M and Caulfield, Mark J and Rao, Dabeeru C and Tobin, Martin D and Elliott, Paul and van Duijn, Cornelia M} } @article {1345, title = {A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains.}, journal = {PLoS Genet}, volume = {7}, year = {2011}, month = {2011 Oct}, pages = {e1002322}, abstract = {

Despite evidence of the clustering of metabolic syndrome components, current approaches for identifying unifying genetic mechanisms typically evaluate clinical categories that do not provide adequate etiological information. Here, we used data from 19,486 European American and 6,287 African American Candidate Gene Association Resource Consortium participants to identify loci associated with the clustering of metabolic phenotypes. Six phenotype domains (atherogenic dyslipidemia, vascular dysfunction, vascular inflammation, pro-thrombotic state, central obesity, and elevated plasma glucose) encompassing 19 quantitative traits were examined. Principal components analysis was used to reduce the dimension of each domain such that >55\% of the trait variance was represented within each domain. We then applied a statistically efficient and computational feasible multivariate approach that related eight principal components from the six domains to 250,000 imputed SNPs using an additive genetic model and including demographic covariates. In European Americans, we identified 606 genome-wide significant SNPs representing 19 loci. Many of these loci were associated with only one trait domain, were consistent with results in African Americans, and overlapped with published findings, for instance central obesity and FTO. However, our approach, which is applicable to any set of interval scale traits that is heritable and exhibits evidence of phenotypic clustering, identified three new loci in or near APOC1, BRAP, and PLCG1, which were associated with multiple phenotype domains. These pleiotropic loci may help characterize metabolic dysregulation and identify targets for intervention.

}, keywords = {African Americans, Apolipoprotein C-I, Blood Glucose, Dyslipidemias, European Continental Ancestry Group, Genetic Association Studies, Genetic Predisposition to Disease, Genome, Human, Humans, Metabolic Syndrome, Obesity, Abdominal, Phenotype, Phospholipase C gamma, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, Ubiquitin-Protein Ligases, Vascular Diseases}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1002322}, author = {Avery, Christy L and He, Qianchuan and North, Kari E and Ambite, Jos{\'e} L and Boerwinkle, Eric and Fornage, Myriam and Hindorff, Lucia A and Kooperberg, Charles and Meigs, James B and Pankow, James S and Pendergrass, Sarah A and Psaty, Bruce M and Ritchie, Marylyn D and Rotter, Jerome I and Taylor, Kent D and Wilkens, Lynne R and Heiss, Gerardo and Lin, Dan Yu} } @article {1371, title = {Associations between incident ischemic stroke events and stroke and cardiovascular disease-related genome-wide association studies single nucleotide polymorphisms in the Population Architecture Using Genomics and Epidemiology study.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Apr 01}, pages = {210-6}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) have identified loci associated with ischemic stroke (IS) and cardiovascular disease (CVD) in European-descent individuals, but their replication in different populations has been largely unexplored.

METHODS AND RESULTS: Nine single nucleotide polymorphisms (SNPs) selected from GWAS and meta-analyses of stroke, and 86 SNPs previously associated with myocardial infarction and CVD risk factors, including blood lipids (high density lipoprotein [HDL], low density lipoprotein [LDL], and triglycerides), type 2 diabetes, and body mass index (BMI), were investigated for associations with incident IS in European Americans (EA) N=26 276, African-Americans (AA) N=8970, and American Indians (AI) N=3570 from the Population Architecture using Genomics and Epidemiology Study. Ancestry-specific fixed effects meta-analysis with inverse variance weighting was used to combine study-specific log hazard ratios from Cox proportional hazards models. Two of 9 stroke SNPs (rs783396 and rs1804689) were significantly associated with [corrected] IS hazard in AA; none were significant in this large EA cohort. Of 73 CVD risk factor SNPs tested in EA, 2 (HDL and triglycerides SNPs) were associated with IS. In AA, SNPs associated with LDL, HDL, and BMI were significantly associated with IS (3 of 86 SNPs tested). Out of 58 SNPs tested in AI, 1 LDL SNP was significantly associated with IS.

CONCLUSIONS: Our analyses showing lack of replication in spite of reasonable power for many stroke SNPs and differing results by ancestry highlight the need to follow up on GWAS findings and conduct genetic association studies in diverse populations. We found modest IS associations with BMI and lipids SNPs, though these findings require confirmation.

}, keywords = {Aged, Aged, 80 and over, Cardiovascular Diseases, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Female, Genetics, Population, Genome-Wide Association Study, Genomics, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Stroke, Triglycerides}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.962191}, author = {Carty, Cara L and B{\r u}zkov{\'a}, Petra and Fornage, Myriam and Franceschini, Nora and Cole, Shelley and Heiss, Gerardo and Hindorff, Lucia A and Howard, Barbara V and Mann, Sue and Martin, Lisa W and Zhang, Ying and Matise, Tara C and Prentice, Ross and Reiner, Alexander P and Kooperberg, Charles} } @article {5863, title = {Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.}, journal = {Lancet Neurol}, volume = {11}, year = {2012}, month = {2012 Nov}, pages = {951-62}, abstract = {

BACKGROUND: Various genome-wide association studies (GWAS) have been done in ischaemic stroke, identifying a few loci associated with the disease, but sample sizes have been 3500 cases or less. We established the METASTROKE collaboration with the aim of validating associations from previous GWAS and identifying novel genetic associations through meta-analysis of GWAS datasets for ischaemic stroke and its subtypes.

METHODS: We meta-analysed data from 15 ischaemic stroke cohorts with a total of 12 389 individuals with ischaemic stroke and 62 004 controls, all of European ancestry. For the associations reaching genome-wide significance in METASTROKE, we did a further analysis, conditioning on the lead single nucleotide polymorphism in every associated region. Replication of novel suggestive signals was done in 13 347 cases and 29 083 controls.

FINDINGS: We verified previous associations for cardioembolic stroke near PITX2 (p=2{\textperiodcentered}8{\texttimes}10(-16)) and ZFHX3 (p=2{\textperiodcentered}28{\texttimes}10(-8)), and for large-vessel stroke at a 9p21 locus (p=3{\textperiodcentered}32{\texttimes}10(-5)) and HDAC9 (p=2{\textperiodcentered}03{\texttimes}10(-12)). Additionally, we verified that all associations were subtype specific. Conditional analysis in the three regions for which the associations reached genome-wide significance (PITX2, ZFHX3, and HDAC9) indicated that all the signal in each region could be attributed to one risk haplotype. We also identified 12 potentially novel loci at p<5{\texttimes}10(-6). However, we were unable to replicate any of these novel associations in the replication cohort.

INTERPRETATION: Our results show that, although genetic variants can be detected in patients with ischaemic stroke when compared with controls, all associations we were able to confirm are specific to a stroke subtype. This finding has two implications. First, to maximise success of genetic studies in ischaemic stroke, detailed stroke subtyping is required. Second, different genetic pathophysiological mechanisms seem to be associated with different stroke subtypes.

FUNDING: Wellcome Trust, UK Medical Research Council (MRC), Australian National and Medical Health Research Council, National Institutes of Health (NIH) including National Heart, Lung and Blood Institute (NHLBI), the National Institute on Aging (NIA), the National Human Genome Research Institute (NHGRI), and the National Institute of Neurological Disorders and Stroke (NINDS).

}, keywords = {Brain Ischemia, Databases, Genetic, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Risk Factors, Stroke}, issn = {1474-4465}, doi = {10.1016/S1474-4422(12)70234-X}, author = {Traylor, Matthew and Farrall, Martin and Holliday, Elizabeth G and Sudlow, Cathie and Hopewell, Jemma C and Cheng, Yu-Ching and Fornage, Myriam and Ikram, M Arfan and Malik, Rainer and Bevan, Steve and Thorsteinsdottir, Unnur and Nalls, Mike A and Longstreth, Wt and Wiggins, Kerri L and Yadav, Sunaina and Parati, Eugenio A and DeStefano, Anita L and Worrall, Bradford B and Kittner, Steven J and Khan, Muhammad Saleem and Reiner, Alex P and Helgadottir, Anna and Achterberg, Sefanja and Fernandez-Cadenas, Israel and Abboud, Sherine and Schmidt, Reinhold and Walters, Matthew and Chen, Wei-Min and Ringelstein, E Bernd and O{\textquoteright}Donnell, Martin and Ho, Weang Kee and Pera, Joanna and Lemmens, Robin and Norrving, Bo and Higgins, Peter and Benn, Marianne and Sale, Michele and Kuhlenb{\"a}umer, Gregor and Doney, Alexander S F and Vicente, Astrid M and Delavaran, Hossein and Algra, Ale and Davies, Gail and Oliveira, Sofia A and Palmer, Colin N A and Deary, Ian and Schmidt, Helena and Pandolfo, Massimo and Montaner, Joan and Carty, Cara and de Bakker, Paul I W and Kostulas, Konstantinos and Ferro, Jose M and van Zuydam, Natalie R and Valdimarsson, Einar and Nordestgaard, B{\o}rge G and Lindgren, Arne and Thijs, Vincent and Slowik, Agnieszka and Saleheen, Danish and Par{\'e}, Guillaume and Berger, Klaus and Thorleifsson, Gudmar and Hofman, Albert and Mosley, Thomas H and Mitchell, Braxton D and Furie, Karen and Clarke, Robert and Levi, Christopher and Seshadri, Sudha and Gschwendtner, Andreas and Boncoraglio, Giorgio B and Sharma, Pankaj and Bis, Joshua C and Gretarsdottir, Solveig and Psaty, Bruce M and Rothwell, Peter M and Rosand, Jonathan and Meschia, James F and Stefansson, Kari and Dichgans, Martin and Markus, Hugh S} } @article {6088, title = {Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function.}, journal = {PLoS Genet}, volume = {8}, year = {2012}, month = {2012}, pages = {e1003098}, abstract = {

Genome-wide association studies have identified numerous genetic loci for spirometic measures of pulmonary function, forced expiratory volume in one second (FEV(1)), and its ratio to forced vital capacity (FEV(1)/FVC). Given that cigarette smoking adversely affects pulmonary function, we conducted genome-wide joint meta-analyses (JMA) of single nucleotide polymorphism (SNP) and SNP-by-smoking (ever-smoking or pack-years) associations on FEV(1) and FEV(1)/FVC across 19 studies (total N = 50,047). We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00{\texttimes}10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35{\texttimes}10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28{\texttimes}10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. The HLA region has been widely implicated for autoimmune and lung phenotypes, unlike the other novel loci, which have not been widely implicated. We evaluated DNER, KCNJ2, and SOX9 and found them to be expressed in human lung tissue. DNER and SOX9 further showed evidence of differential expression in human airway epithelium in smokers compared to non-smokers. Our findings demonstrated that joint testing of SNP and SNP-by-environment interaction identified novel loci associated with complex traits that are missed when considering only the genetic main effects.

}, keywords = {Forced Expiratory Volume, Gene Expression, Genome, Human, Genome-Wide Association Study, HLA-DQ Antigens, HLA-DQ beta-Chains, Humans, Lung, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, Inwardly Rectifying, Pulmonary Disease, Chronic Obstructive, Receptors, Cell Surface, Smoking, SOX9 Transcription Factor, Vital Capacity}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003098}, author = {Hancock, Dana B and Soler Artigas, Maria and Gharib, Sina A and Henry, Amanda and Manichaikul, Ani and Ramasamy, Adaikalavan and Loth, Daan W and Imboden, Medea and Koch, Beate and McArdle, Wendy L and Smith, Albert V and Smolonska, Joanna and Sood, Akshay and Tang, Wenbo and Wilk, Jemma B and Zhai, Guangju and Zhao, Jing Hua and Aschard, Hugues and Burkart, Kristin M and Curjuric, Ivan and Eijgelsheim, Mark and Elliott, Paul and Gu, Xiangjun and Harris, Tamara B and Janson, Christer and Homuth, Georg and Hysi, Pirro G and Liu, Jason Z and Loehr, Laura R and Lohman, Kurt and Loos, Ruth J F and Manning, Alisa K and Marciante, Kristin D and Obeidat, Ma{\textquoteright}en and Postma, Dirkje S and Aldrich, Melinda C and Brusselle, Guy G and Chen, Ting-Hsu and Eiriksdottir, Gudny and Franceschini, Nora and Heinrich, Joachim and Rotter, Jerome I and Wijmenga, Cisca and Williams, O Dale and Bentley, Amy R and Hofman, Albert and Laurie, Cathy C and Lumley, Thomas and Morrison, Alanna C and Joubert, Bonnie R and Rivadeneira, Fernando and Couper, David J and Kritchevsky, Stephen B and Liu, Yongmei and Wjst, Matthias and Wain, Louise V and Vonk, Judith M and Uitterlinden, Andr{\'e} G and Rochat, Thierry and Rich, Stephen S and Psaty, Bruce M and O{\textquoteright}Connor, George T and North, Kari E and Mirel, Daniel B and Meibohm, Bernd and Launer, Lenore J and Khaw, Kay-Tee and Hartikainen, Anna-Liisa and Hammond, Christopher J and Gl{\"a}ser, Sven and Marchini, Jonathan and Kraft, Peter and Wareham, Nicholas J and V{\"o}lzke, Henry and Stricker, Bruno H C and Spector, Timothy D and Probst-Hensch, Nicole M and Jarvis, Deborah and Jarvelin, Marjo-Riitta and Heckbert, Susan R and Gudnason, Vilmundur and Boezen, H Marike and Barr, R Graham and Cassano, Patricia A and Strachan, David P and Fornage, Myriam and Hall, Ian P and Dupuis, Jos{\'e}e and Tobin, Martin D and London, Stephanie J} } @article {1388, title = {Multi-ethnic analysis of lipid-associated loci: the NHLBI CARe project.}, journal = {PLoS One}, volume = {7}, year = {2012}, month = {2012}, pages = {e36473}, abstract = {

BACKGROUND: Whereas it is well established that plasma lipid levels have substantial heritability within populations, it remains unclear how many of the genetic determinants reported in previous studies (largely performed in European American cohorts) are relevant in different ethnicities.

METHODOLOGY/PRINCIPAL FINDINGS: We tested a set of \~{}50,000 polymorphisms from \~{}2,000 candidate genes and genetic loci from genome-wide association studies (GWAS) for association with low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) in 25,000 European Americans and 9,000 African Americans in the National Heart, Lung, and Blood Institute (NHLBI) Candidate Gene Association Resource (CARe). We replicated associations for a number of genes in one or both ethnicities and identified a novel lipid-associated variant in a locus harboring ICAM1. We compared the architecture of genetic loci associated with lipids in both African Americans and European Americans and found that the same genes were relevant across ethnic groups but the specific associated variants at each gene often differed.

CONCLUSIONS/SIGNIFICANCE: We identify or provide further evidence for a number of genetic determinants of plasma lipid levels through population association studies. In many loci the determinants appear to differ substantially between African Americans and European Americans.

}, keywords = {African Americans, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Genetic Association Studies, Genetic Loci, Humans, Polymorphism, Single Nucleotide, Triglycerides}, issn = {1932-6203}, doi = {10.1371/journal.pone.0036473}, author = {Musunuru, Kiran and Romaine, Simon P R and Lettre, Guillaume and Wilson, James G and Volcik, Kelly A and Tsai, Michael Y and Taylor, Herman A and Schreiner, Pamela J and Rotter, Jerome I and Rich, Stephen S and Redline, Susan and Psaty, Bruce M and Papanicolaou, George J and Ordovas, Jose M and Liu, Kiang and Krauss, Ronald M and Glazer, Nicole L and Gabriel, Stacey B and Fornage, Myriam and Cupples, L Adrienne and Buxbaum, Sarah G and Boerwinkle, Eric and Ballantyne, Christie M and Kathiresan, Sekar and Rader, Daniel J} } @article {6827, title = {Association of functional polymorphism rs2231142 (Q141K) in the ABCG2 gene with serum uric acid and gout in 4 US populations: the PAGE Study.}, journal = {Am J Epidemiol}, volume = {177}, year = {2013}, month = {2013 May 1}, pages = {923-32}, abstract = {

A loss-of-function mutation (Q141K, rs2231142) in the ATP-binding cassette, subfamily G, member 2 gene (ABCG2) has been shown to be associated with serum uric acid levels and gout in Asians, Europeans, and European and African Americans; however, less is known about these associations in other populations. Rs2231142 was genotyped in 22,734 European Americans, 9,720 African Americans, 3,849 Mexican Americans, and 3,550 American Indians in the Population Architecture using Genomics and Epidemiology (PAGE) Study (2008-2012). Rs2231142 was significantly associated with serum uric acid levels (P = 2.37 {\texttimes} 10(-67), P = 3.98 {\texttimes} 10(-5), P = 6.97 {\texttimes} 10(-9), and P = 5.33 {\texttimes} 10(-4) in European Americans, African Americans, Mexican Americans, and American Indians, respectively) and gout (P = 2.83 {\texttimes} 10(-10), P = 0.01, and P = 0.01 in European Americans, African Americans, and Mexican Americans, respectively). Overall, the T allele was associated with a 0.24-mg/dL increase in serum uric acid level (P = 1.37 {\texttimes} 10(-80)) and a 1.75-fold increase in the odds of gout (P = 1.09 {\texttimes} 10(-12)). The association between rs2231142 and serum uric acid was significantly stronger in men, postmenopausal women, and hormone therapy users compared with their counterparts. The association with gout was also significantly stronger in men than in women. These results highlight a possible role of sex hormones in the regulation of ABCG2 urate transporter and its potential implications for the prevention, diagnosis, and treatment of hyperuricemia and gout.

}, keywords = {Adult, African Americans, Age Distribution, ATP-Binding Cassette Transporters, Comorbidity, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genetics, Population, Genome-Wide Association Study, Gout, Hormone Replacement Therapy, Humans, Indians, North American, Male, Mexican Americans, Middle Aged, Neoplasm Proteins, Polymorphism, Genetic, Postmenopause, Sex Distribution, United States, Uric Acid}, issn = {1476-6256}, doi = {10.1093/aje/kws330}, author = {Zhang, Lili and Spencer, Kylee L and Voruganti, V Saroja and Jorgensen, Neal W and Fornage, Myriam and Best, Lyle G and Brown-Gentry, Kristin D and Cole, Shelley A and Crawford, Dana C and Deelman, Ewa and Franceschini, Nora and Gaffo, Angelo L and Glenn, Kimberly R and Heiss, Gerardo and Jenny, Nancy S and K{\"o}ttgen, Anna and Li, Qiong and Liu, Kiang and Matise, Tara C and North, Kari E and Umans, Jason G and Kao, W H Linda} } @article {6067, title = {Best practices and joint calling of the HumanExome BeadChip: the CHARGE Consortium.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e68095}, abstract = {

Genotyping arrays are a cost effective approach when typing previously-identified genetic polymorphisms in large numbers of samples. One limitation of genotyping arrays with rare variants (e.g., minor allele frequency [MAF] <0.01) is the difficulty that automated clustering algorithms have to accurately detect and assign genotype calls. Combining intensity data from large numbers of samples may increase the ability to accurately call the genotypes of rare variants. Approximately 62,000 ethnically diverse samples from eleven Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium cohorts were genotyped with the Illumina HumanExome BeadChip across seven genotyping centers. The raw data files for the samples were assembled into a single project for joint calling. To assess the quality of the joint calling, concordance of genotypes in a subset of individuals having both exome chip and exome sequence data was analyzed. After exclusion of low performing SNPs on the exome chip and non-overlap of SNPs derived from sequence data, genotypes of 185,119 variants (11,356 were monomorphic) were compared in 530 individuals that had whole exome sequence data. A total of 98,113,070 pairs of genotypes were tested and 99.77\% were concordant, 0.14\% had missing data, and 0.09\% were discordant. We report that joint calling allows the ability to accurately genotype rare variation using array technology when large sample sizes are available and best practices are followed. The cluster file from this experiment is available at www.chargeconsortium.com/main/exomechip.

}, keywords = {Aging, Alleles, Cluster Analysis, Cohort Studies, Continental Population Groups, Exome, Female, Gene Frequency, Genomics, Genotype, Heart, Humans, Male, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Sample Size, Self Report, Sequence Analysis, DNA}, issn = {1932-6203}, doi = {10.1371/journal.pone.0068095}, author = {Grove, Megan L and Yu, Bing and Cochran, Barbara J and Haritunians, Talin and Bis, Joshua C and Taylor, Kent D and Hansen, Mark and Borecki, Ingrid B and Cupples, L Adrienne and Fornage, Myriam and Gudnason, Vilmundur and Harris, Tamara B and Kathiresan, Sekar and Kraaij, Robert and Launer, Lenore J and Levy, Daniel and Liu, Yongmei and Mosley, Thomas and Peloso, Gina M and Psaty, Bruce M and Rich, Stephen S and Rivadeneira, Fernando and Siscovick, David S and Smith, Albert V and Uitterlinden, Andre and van Duijn, Cornelia M and Wilson, James G and O{\textquoteright}Donnell, Christopher J and Rotter, Jerome I and Boerwinkle, Eric} } @article {6626, title = {Fine Mapping and Identification of BMI Loci in African Americans.}, journal = {Am J Hum Genet}, volume = {93}, year = {2013}, month = {2013 Oct 3}, pages = {661-71}, abstract = {

Genome-wide association studies (GWASs) primarily performed in European-ancestry (EA) populations have identified numerous loci associated with body mass index (BMI). However, it is still unclear whether these GWAS loci can be generalized to other ethnic groups, such as African Americans (AAs). Furthermore, the putative functional variant or variants in these loci mostly remain under investigation. The overall lower linkage disequilibrium in AA compared to EA populations provides the opportunity to narrow in or fine-map these BMI-related loci. Therefore, we used the Metabochip to densely genotype and evaluate 21 BMI GWAS loci identified in EA studies in 29,151 AAs from the Population Architecture using Genomics and Epidemiology (PAGE) study. Eight of the 21 loci (SEC16B, TMEM18, ETV5, GNPDA2, TFAP2B, BDNF, FTO, and MC4R) were found to be associated with BMI in AAs at 5.8~{\texttimes} 10(-5). Within seven out of these eight loci, we found that, on average, a substantially smaller number of variants was correlated (r(2) > 0.5) with the most significant SNP in AA than in EA populations (16 versus 55). Conditional analyses revealed GNPDA2 harboring a potential additional independent signal. Moreover, Metabochip-wide discovery analyses revealed two BMI-related loci, BRE (rs116612809, p = 3.6~{\texttimes} 10(-8)) and DHX34 (rs4802349, p = 1.2~{\texttimes} 10(-7)), which were significant when adjustment was made for the total number of SNPs tested across the chip. These results demonstrate that fine mapping in AAs is a powerful approach for both narrowing in on the underlying causal variants in known loci and discovering BMI-related loci.

}, keywords = {Adult, African Americans, Aged, Aged, 80 and over, Body Mass Index, Female, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Young Adult}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2013.08.012}, author = {Gong, Jian and Schumacher, Fredrick and Lim, Unhee and Hindorff, Lucia A and Haessler, Jeff and Buyske, Steven and Carlson, Christopher S and Rosse, Stephanie and B{\r u}zkov{\'a}, Petra and Fornage, Myriam and Gross, Myron and Pankratz, Nathan and Pankow, James S and Schreiner, Pamela J and Cooper, Richard and Ehret, Georg and Gu, C Charles and Houston, Denise and Irvin, Marguerite R and Jackson, Rebecca and Kuller, Lew and Henderson, Brian and Cheng, Iona and Wilkens, Lynne and Leppert, Mark and Lewis, Cora E and Li, Rongling and Nguyen, Khanh-Dung H and Goodloe, Robert and Farber-Eger, Eric and Boston, Jonathan and Dilks, Holli H and Ritchie, Marylyn D and Fowke, Jay and Pooler, Loreall and Graff, Misa and Fernandez-Rhodes, Lindsay and Cochrane, Barbara and Boerwinkle, Eric and Kooperberg, Charles and Matise, Tara C and Le Marchand, Lo{\"\i}c and Crawford, Dana C and Haiman, Christopher A and North, Kari E and Peters, Ulrike} } @article {6282, title = {Genome-wide and gene-centric analyses of circulating myeloperoxidase levels in the charge and care consortia.}, journal = {Hum Mol Genet}, volume = {22}, year = {2013}, month = {2013 Aug 15}, pages = {3381-93}, abstract = {

Increased systemic levels of myeloperoxidase (MPO) are associated with the risk of coronary artery disease (CAD). To identify the genetic factors that are associated with circulating MPO levels, we carried out a genome-wide association study (GWAS) and a gene-centric analysis in subjects of European ancestry and African Americans (AAs). A locus on chromosome 1q31.1 containing the complement factor H (CFH) gene was strongly associated with serum MPO levels in 9305 subjects of European ancestry (lead SNP rs800292; P = 4.89 {\texttimes} 10(-41)) and in 1690 AA subjects (rs505102; P = 1.05 {\texttimes} 10(-8)). Gene-centric analyses in 8335 subjects of European ancestry additionally identified two rare MPO coding sequence variants that were associated with serum MPO levels (rs28730837, P = 5.21 {\texttimes} 10(-12); rs35897051, P = 3.32 {\texttimes} 10(-8)). A GWAS for plasma MPO levels in 9260 European ancestry subjects identified a chromosome 17q22 region near MPO that was significantly associated (lead SNP rs6503905; P = 2.94 {\texttimes} 10(-12)), but the CFH locus did not exhibit evidence of association with plasma MPO levels. Functional analyses revealed that rs800292 was associated with levels of complement proteins in serum. Variants at chromosome 17q22 also had pleiotropic cis effects on gene expression. In a case-control analysis of \~{}80 000 subjects from CARDIoGRAM, none of the identified single-nucleotide polymorphisms (SNPs) were associated with CAD. These results suggest that distinct genetic factors regulate serum and plasma MPO levels, which may have relevance for various acute and chronic inflammatory disorders. The clinical implications for CAD and a better understanding of the functional basis for the association of CFH and MPO variants with circulating MPO levels require further study.

}, keywords = {Adult, African Americans, Aged, Case-Control Studies, Complement Factor H, Coronary Artery Disease, European Continental Ancestry Group, Female, Gene Expression Regulation, Enzymologic, Genetic Association Studies, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Peroxidase, Polymorphism, Single Nucleotide, Young Adult}, issn = {1460-2083}, doi = {10.1093/hmg/ddt189}, author = {Reiner, Alexander P and Hartiala, Jaana and Zeller, Tanja and Bis, Joshua C and Dupuis, Jos{\'e}e and Fornage, Myriam and Baumert, Jens and Kleber, Marcus E and Wild, Philipp S and Baldus, Stephan and Bielinski, Suzette J and Fontes, Jo{\~a}o D and Illig, Thomas and Keating, Brendan J and Lange, Leslie A and Ojeda, Francisco and M{\"u}ller-Nurasyid, Martina and Munzel, Thomas F and Psaty, Bruce M and Rice, Kenneth and Rotter, Jerome I and Schnabel, Renate B and Tang, W H Wilson and Thorand, Barbara and Erdmann, Jeanette and Jacobs, David R and Wilson, James G and Koenig, Wolfgang and Tracy, Russell P and Blankenberg, Stefan and M{\"a}rz, Winfried and Gross, Myron D and Benjamin, Emelia J and Hazen, Stanley L and Allayee, Hooman} } @article {6075, title = {Genome-wide association analyses identify 18 new loci associated with serum urate concentrations.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Feb}, pages = {145-54}, abstract = {

Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4). Associations for many of the loci were of similar magnitude in individuals of non-European ancestry. We further characterized these loci for associations with gout, transcript expression and the fractional excretion of urate. Network analyses implicate the inhibins-activins signaling pathways and glucose metabolism in systemic urate control. New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.

}, keywords = {Analysis of Variance, European Continental Ancestry Group, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Glucose, Gout, Humans, Inhibins, Polymorphism, Single Nucleotide, Signal Transduction, Uric Acid}, issn = {1546-1718}, doi = {10.1038/ng.2500}, author = {K{\"o}ttgen, Anna and Albrecht, Eva and Teumer, Alexander and Vitart, Veronique and Krumsiek, Jan and Hundertmark, Claudia and Pistis, Giorgio and Ruggiero, Daniela and O{\textquoteright}Seaghdha, Conall M and Haller, Toomas and Yang, Qiong and Tanaka, Toshiko and Johnson, Andrew D and Kutalik, Zolt{\'a}n and Smith, Albert V and Shi, Julia and Struchalin, Maksim and Middelberg, Rita P S and Brown, Morris J and Gaffo, Angelo L and Pirastu, Nicola and Li, Guo and Hayward, Caroline and Zemunik, Tatijana and Huffman, Jennifer and Yengo, Loic and Zhao, Jing Hua and Demirkan, Ayse and Feitosa, Mary F and Liu, Xuan and Malerba, Giovanni and Lopez, Lorna M and van der Harst, Pim and Li, Xinzhong and Kleber, Marcus E and Hicks, Andrew A and Nolte, Ilja M and Johansson, Asa and Murgia, Federico and Wild, Sarah H and Bakker, Stephan J L and Peden, John F and Dehghan, Abbas and Steri, Maristella and Tenesa, Albert and Lagou, Vasiliki and Salo, Perttu and Mangino, Massimo and Rose, Lynda M and Lehtim{\"a}ki, Terho and Woodward, Owen M and Okada, Yukinori and Tin, Adrienne and M{\"u}ller, Christian and Oldmeadow, Christopher and Putku, Margus and Czamara, Darina and Kraft, Peter and Frogheri, Laura and Thun, Gian Andri and Grotevendt, Anne and Gislason, Gauti Kjartan and Harris, Tamara B and Launer, Lenore J and McArdle, Patrick and Shuldiner, Alan R and Boerwinkle, Eric and Coresh, Josef and Schmidt, Helena and Schallert, Michael and Martin, Nicholas G and Montgomery, Grant W and Kubo, Michiaki and Nakamura, Yusuke and Tanaka, Toshihiro and Munroe, Patricia B and Samani, Nilesh J and Jacobs, David R and Liu, Kiang and D{\textquoteright}Adamo, Pio and Ulivi, Sheila and Rotter, Jerome I and Psaty, Bruce M and Vollenweider, Peter and Waeber, G{\'e}rard and Campbell, Susan and Devuyst, Olivier and Navarro, Pau and Kolcic, Ivana and Hastie, Nicholas and Balkau, Beverley and Froguel, Philippe and Esko, T{\~o}nu and Salumets, Andres and Khaw, Kay Tee and Langenberg, Claudia and Wareham, Nicholas J and Isaacs, Aaron and Kraja, Aldi and Zhang, Qunyuan and Wild, Philipp S and Scott, Rodney J and Holliday, Elizabeth G and Org, Elin and Viigimaa, Margus and Bandinelli, Stefania and Metter, Jeffrey E and Lupo, Antonio and Trabetti, Elisabetta and Sorice, Rossella and D{\"o}ring, Angela and Lattka, Eva and Strauch, Konstantin and Theis, Fabian and Waldenberger, Melanie and Wichmann, H-Erich and Davies, Gail and Gow, Alan J and Bruinenberg, Marcel and Stolk, Ronald P and Kooner, Jaspal S and Zhang, Weihua and Winkelmann, Bernhard R and Boehm, Bernhard O and Lucae, Susanne and Penninx, Brenda W and Smit, Johannes H and Curhan, Gary and Mudgal, Poorva and Plenge, Robert M and Portas, Laura and Persico, Ivana and Kirin, Mirna and Wilson, James F and Mateo Leach, Irene and van Gilst, Wiek H and Goel, Anuj and Ongen, Halit and Hofman, Albert and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Imboden, Medea and von Eckardstein, Arnold and Cucca, Francesco and Nagaraja, Ramaiah and Piras, Maria Grazia and Nauck, Matthias and Schurmann, Claudia and Budde, Kathrin and Ernst, Florian and Farrington, Susan M and Theodoratou, Evropi and Prokopenko, Inga and Stumvoll, Michael and Jula, Antti and Perola, Markus and Salomaa, Veikko and Shin, So-Youn and Spector, Tim D and Sala, Cinzia and Ridker, Paul M and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Hengstenberg, Christian and Nelson, Christopher P and Meschia, James F and Nalls, Michael A and Sharma, Pankaj and Singleton, Andrew B and Kamatani, Naoyuki and Zeller, Tanja and Burnier, Michel and Attia, John and Laan, Maris and Klopp, Norman and Hillege, Hans L and Kloiber, Stefan and Choi, Hyon and Pirastu, Mario and Tore, Silvia and Probst-Hensch, Nicole M and V{\"o}lzke, Henry and Gudnason, Vilmundur and Parsa, Afshin and Schmidt, Reinhold and Whitfield, John B and Fornage, Myriam and Gasparini, Paolo and Siscovick, David S and Polasek, Ozren and Campbell, Harry and Rudan, Igor and Bouatia-Naji, Nabila and Metspalu, Andres and Loos, Ruth J F and van Duijn, Cornelia M and Borecki, Ingrid B and Ferrucci, Luigi and Gambaro, Giovanni and Deary, Ian J and Wolffenbuttel, Bruce H R and Chambers, John C and M{\"a}rz, Winfried and Pramstaller, Peter P and Snieder, Harold and Gyllensten, Ulf and Wright, Alan F and Navis, Gerjan and Watkins, Hugh and Witteman, Jacqueline C M and Sanna, Serena and Schipf, Sabine and Dunlop, Malcolm G and T{\"o}njes, Anke and Ripatti, Samuli and Soranzo, Nicole and Toniolo, Daniela and Chasman, Daniel I and Raitakari, Olli and Kao, W H Linda and Ciullo, Marina and Fox, Caroline S and Caulfield, Mark and Bochud, Murielle and Gieger, Christian} } @article {5880, title = {Genome-wide association study identifies novel loci associated with concentrations of four plasma phospholipid fatty acids in the de novo lipogenesis pathway: results from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortiu}, journal = {Circ Cardiovasc Genet}, volume = {6}, year = {2013}, month = {2013 Apr}, pages = {171-83}, abstract = {

BACKGROUND- Palmitic acid (16:0), stearic acid (18:0), palmitoleic acid (16:1n-7), and oleic acid (18:1n-9) are major saturated and monounsaturated fatty acids that affect cellular signaling and metabolic pathways. They are synthesized via de novo lipogenesis and are the main saturated and monounsaturated fatty acids in the diet. Levels of these fatty acids have been linked to diseases including type 2 diabetes mellitus and coronary heart disease. METHODS AND RESULTS- Genome-wide association studies were conducted in 5 population-based cohorts comprising 8961 participants of European ancestry to investigate the association of common genetic variation with plasma levels of these 4 fatty acids. We identified polymorphisms in 7 novel loci associated with circulating levels of >=1 of these fatty acids. ALG14 (asparagine-linked glycosylation 14 homolog) polymorphisms were associated with higher 16:0 (P=2.7{\texttimes}10(-11)) and lower 18:0 (P=2.2{\texttimes}10(-18)). FADS1 and FADS2 (desaturases) polymorphisms were associated with higher 16:1n-7 (P=6.6{\texttimes}10(-13)) and 18:1n-9 (P=2.2{\texttimes}10(-32)) and lower 18:0 (P=1.3{\texttimes}10(-20)). LPGAT1 (lysophosphatidylglycerol acyltransferase) polymorphisms were associated with lower 18:0 (P=2.8{\texttimes}10(-9)). GCKR (glucokinase regulator; P=9.8{\texttimes}10(-10)) and HIF1AN (factor inhibiting hypoxia-inducible factor-1; P=5.7{\texttimes}10(-9)) polymorphisms were associated with higher 16:1n-7, whereas PKD2L1 (polycystic kidney disease 2-like 1; P=5.7{\texttimes}10(-15)) and a locus on chromosome 2 (not near known genes) were associated with lower 16:1n-7 (P=4.1{\texttimes}10(-8)). CONCLUSIONS- Our findings provide novel evidence that common variations in genes with diverse functions, including protein-glycosylation, polyunsaturated fatty acid metabolism, phospholipid modeling, and glucose- and oxygen-sensing pathways, are associated with circulating levels of 4 fatty acids in the de novo lipogenesis pathway. These results expand our knowledge of genetic factors relevant to de novo lipogenesis and fatty acid biology.

}, keywords = {Adult, Aged, Chromosomes, Human, Pair 2, Cohort Studies, Coronary Disease, Diabetes Mellitus, Type 2, Fatty Acids, Monounsaturated, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Lipogenesis, Male, Middle Aged, Oleic Acid, Palmitic Acid, Polymorphism, Single Nucleotide, Stearic Acids}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.112.964619}, author = {Wu, Jason H Y and Lemaitre, Rozenn N and Manichaikul, Ani and Guan, Weihua and Tanaka, Toshiko and Foy, Millennia and Kabagambe, Edmond K and Djouss{\'e}, Luc and Siscovick, David and Fretts, Amanda M and Johnson, Catherine and King, Irena B and Psaty, Bruce M and McKnight, Barbara and Rich, Stephen S and Chen, Yii-der I and Nettleton, Jennifer A and Tang, Weihong and Bandinelli, Stefania and Jacobs, David R and Browning, Brian L and Laurie, Cathy C and Gu, Xiangjun and Tsai, Michael Y and Steffen, Lyn M and Ferrucci, Luigi and Fornage, Myriam and Mozaffarian, Dariush} } @article {6070, title = {A genome-wide association study of depressive symptoms.}, journal = {Biol Psychiatry}, volume = {73}, year = {2013}, month = {2013 Apr 01}, pages = {667-78}, abstract = {

BACKGROUND: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.

METHODS: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p<1{\texttimes}10(-5)) was performed in five studies assessing depressive symptoms with other instruments. In addition, we performed a combined meta-analysis of all 22 discovery and replication studies.

RESULTS: The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05{\texttimes}10(-7)). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19{\texttimes}10(-3)). This 5q21 region reached genome-wide significance (p = 4.78{\texttimes}10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258).

CONCLUSIONS: The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.

}, keywords = {Aged, Aged, 80 and over, Chromosomes, Human, Pair 5, Depression, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1873-2402}, doi = {10.1016/j.biopsych.2012.09.033}, author = {Hek, Karin and Demirkan, Ayse and Lahti, Jari and Terracciano, Antonio and Teumer, Alexander and Cornelis, Marilyn C and Amin, Najaf and Bakshis, Erin and Baumert, Jens and Ding, Jingzhong and Liu, Yongmei and Marciante, Kristin and Meirelles, Osorio and Nalls, Michael A and Sun, Yan V and Vogelzangs, Nicole and Yu, Lei and Bandinelli, Stefania and Benjamin, Emelia J and Bennett, David A and Boomsma, Dorret and Cannas, Alessandra and Coker, Laura H and de Geus, Eco and De Jager, Philip L and Diez-Roux, Ana V and Purcell, Shaun and Hu, Frank B and Rimma, Eric B and Hunter, David J and Jensen, Majken K and Curhan, Gary and Rice, Kenneth and Penman, Alan D and Rotter, Jerome I and Sotoodehnia, Nona and Emeny, Rebecca and Eriksson, Johan G and Evans, Denis A and Ferrucci, Luigi and Fornage, Myriam and Gudnason, Vilmundur and Hofman, Albert and Illig, Thomas and Kardia, Sharon and Kelly-Hayes, Margaret and Koenen, Karestan and Kraft, Peter and Kuningas, Maris and Massaro, Joseph M and Melzer, David and Mulas, Antonella and Mulder, Cornelis L and Murray, Anna and Oostra, Ben A and Palotie, Aarno and Penninx, Brenda and Petersmann, Astrid and Pilling, Luke C and Psaty, Bruce and Rawal, Rajesh and Reiman, Eric M and Schulz, Andrea and Shulman, Joshua M and Singleton, Andrew B and Smith, Albert V and Sutin, Angelina R and Uitterlinden, Andr{\'e} G and V{\"o}lzke, Henry and Widen, Elisabeth and Yaffe, Kristine and Zonderman, Alan B and Cucca, Francesco and Harris, Tamara and Ladwig, Karl-Heinz and Llewellyn, David J and R{\"a}ikk{\"o}nen, Katri and Tanaka, Toshiko and van Duijn, Cornelia M and Grabe, Hans J and Launer, Lenore J and Lunetta, Kathryn L and Mosley, Thomas H and Newman, Anne B and Tiemeier, Henning and Murabito, Joanne} } @article {6627, title = {Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study.}, journal = {BMC Genet}, volume = {14}, year = {2013}, month = {2013}, pages = {33}, abstract = {

BACKGROUND: High-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) levels are influenced by both genes and the environment. Genome-wide association studies (GWAS) have identified ~100 common genetic variants associated with HDL-C, LDL-C, and/or TG levels, mostly in populations of European descent, but little is known about the modifiers of these associations. Here, we investigated whether GWAS-identified SNPs for lipid traits exhibited heterogeneity by sex in the Population Architecture using Genomics and Epidemiology (PAGE) study.

RESULTS: A sex-stratified meta-analysis was performed for 49 GWAS-identified SNPs for fasting HDL-C, LDL-C, and ln(TG) levels among adults self-identified as European American (25,013). Heterogeneity by sex was established when phet < 0.001. There was evidence for heterogeneity by sex for two SNPs for ln(TG) in the APOA1/C3/A4/A5/BUD13 gene cluster: rs28927680 (p(het) = 7.4 x 10(-7)) and rs3135506 (p(het) = 4.3 x 10(-4)one SNP in PLTP for HDL levels (rs7679; p(het) = 9.9 x 10(-4)), and one in HMGCR for LDL levels (rs12654264; p(het) = 3.1 x 10(-5)). We replicated heterogeneity by sex in five of seventeen loci previously reported by genome-wide studies (binomial p = 0.0009). We also present results for other racial/ethnic groups in the supplementary materials, to provide a resource for future meta-analyses.

CONCLUSIONS: We provide further evidence for sex-specific effects of SNPs in the APOA1/C3/A4/A5/BUD13 gene cluster, PLTP, and HMGCR on fasting triglyceride levels in European Americans from the PAGE study. Our findings emphasize the need for considering context-specific effects when interpreting genetic associations emerging from GWAS, and also highlight the difficulties in replicating interaction effects across studies and across racial/ethnic groups.

}, keywords = {Female, Genetic Heterogeneity, Genome, Human, Genome-Wide Association Study, Humans, Lipids, Male, Polymorphism, Single Nucleotide, Population Groups}, issn = {1471-2156}, doi = {10.1186/1471-2156-14-33}, author = {Taylor, Kira C and Carty, Cara L and Dumitrescu, Logan and B{\r u}zkov{\'a}, Petra and Cole, Shelley A and Hindorff, Lucia and Schumacher, Fred R and Wilkens, Lynne R and Shohet, Ralph V and Quibrera, P Miguel and Johnson, Karen C and Henderson, Brian E and Haessler, Jeff and Franceschini, Nora and Eaton, Charles B and Duggan, David J and Cochran, Barbara and Cheng, Iona and Carlson, Chris S and Brown-Gentry, Kristin and Anderson, Garnet and Ambite, Jose Luis and Haiman, Christopher and Le Marchand, Lo{\"\i}c and Kooperberg, Charles and Crawford, Dana C and Buyske, Steven and North, Kari E and Fornage, Myriam} } @article {6108, title = {Ischemic stroke is associated with the ABO locus: the EuroCLOT study.}, journal = {Ann Neurol}, volume = {73}, year = {2013}, month = {2013 Jan}, pages = {16-31}, abstract = {

OBJECTIVE: End-stage coagulation and the structure/function of fibrin are implicated in the pathogenesis of ischemic stroke. We explored whether genetic variants associated with end-stage coagulation in healthy volunteers account for the genetic predisposition to ischemic stroke and examined their influence on stroke subtype.

METHODS: Common genetic variants identified through genome-wide association studies of coagulation factors and fibrin structure/function in healthy twins (n = 2,100, Stage 1) were examined in ischemic stroke (n = 4,200 cases) using 2 independent samples of European ancestry (Stage 2). A third clinical collection having stroke subtyping (total 8,900 cases, 55,000 controls) was used for replication (Stage 3).

RESULTS: Stage 1 identified 524 single nucleotide polymorphisms (SNPs) from 23 linkage disequilibrium blocks having significant association (p < 5 {\texttimes} 10(-8)) with 1 or more coagulation/fibrin phenotypes. The most striking associations included SNP rs5985 with factor XIII activity (p = 2.6 {\texttimes} 10(-186)), rs10665 with FVII (p = 2.4 {\texttimes} 10(-47)), and rs505922 in the ABO gene with both von Willebrand factor (p = 4.7 {\texttimes} 10(-57)) and factor VIII (p = 1.2 {\texttimes} 10(-36)). In Stage 2, the 23 independent SNPs were examined in stroke cases/noncases using MOnica Risk, Genetics, Archiving and Monograph (MORGAM) and Wellcome Trust Case Control Consortium 2 collections. SNP rs505922 was nominally associated with ischemic stroke (odds ratio = 0.94, 95\% confidence interval = 0.88-0.99, p = 0.023). Independent replication in Meta-Stroke confirmed the rs505922 association with stroke, beta (standard error, SE) = 0.066 (0.02), p = 0.001, a finding specific to large-vessel and cardioembolic stroke (p = 0.001 and p = < 0.001, respectively) but not seen with small-vessel stroke (p = 0.811).

INTERPRETATION: ABO gene variants are associated with large-vessel and cardioembolic stroke but not small-vessel disease. This work sheds light on the different pathogenic mechanisms underpinning stroke subtype.

}, keywords = {ABO Blood-Group System, Adolescent, Adult, Aged, Aged, 80 and over, Blood Coagulation, Brain Ischemia, Cohort Studies, Europe, Female, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Stroke, Young Adult}, issn = {1531-8249}, doi = {10.1002/ana.23838}, author = {Williams, Frances M K and Carter, Angela M and Hysi, Pirro G and Surdulescu, Gabriela and Hodgkiss, Dylan and Soranzo, Nicole and Traylor, Matthew and Bevan, Steve and Dichgans, Martin and Rothwell, Peter M W and Sudlow, Cathie and Farrall, Martin and Silander, Kaisa and Kaunisto, Mari and Wagner, Peter and Saarela, Olli and Kuulasmaa, Kari and Virtamo, Jarmo and Salomaa, Veikko and Amouyel, Philippe and Arveiler, Dominique and Ferrieres, Jean and Wiklund, Per-Gunnar and Ikram, M Arfan and Hofman, Albert and Boncoraglio, Giorgio B and Parati, Eugenio A and Helgadottir, Anna and Gretarsdottir, Solveig and Thorsteinsdottir, Unnur and Thorleifsson, Gudmar and Stefansson, Kari and Seshadri, Sudha and DeStefano, Anita and Gschwendtner, Andreas and Psaty, Bruce and Longstreth, Will and Mitchell, Braxton D and Cheng, Yu-Ching and Clarke, Robert and Ferrario, Marco and Bis, Joshua C and Levi, Christopher and Attia, John and Holliday, Elizabeth G and Scott, Rodney J and Fornage, Myriam and Sharma, Pankaj and Furie, Karen L and Rosand, Jonathan and Nalls, Mike and Meschia, James and Mosely, Thomas H and Evans, Alun and Palotie, Aarno and Markus, Hugh S and Grant, Peter J and Spector, Tim D} } @article {6155, title = {Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease.}, journal = {Circulation}, volume = {128}, year = {2013}, month = {2013 Sep 17}, pages = {1310-24}, abstract = {

BACKGROUND: Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease, range from 34\% to 50\%. Genetic variants so far identified by genome-wide association studies explain only a small proportion (<2\%) of its variation.

METHODS AND RESULTS: We conducted a meta-analysis of 28 genome-wide association studies including >90 000 subjects of European ancestry, the first genome-wide association meta-analysis of fibrinogen levels in 7 studies in blacks totaling 8289 samples, and a genome-wide association study in Hispanics totaling 1366 samples. Evaluation for association of single-nucleotide polymorphisms with clinical outcomes included a total of 40 695 cases and 85 582 controls for coronary artery disease, 4752 cases and 24 030 controls for stroke, and 3208 cases and 46 167 controls for venous thromboembolism. Overall, we identified 24 genome-wide significant (P<5{\texttimes}10(-8)) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7\% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the 3 structural fibrinogen genes and pathways related to inflammation, adipocytokines, and thyrotrophin-releasing hormone signaling. Whereas lead single-nucleotide polymorphisms in a few loci were significantly associated with coronary artery disease, the combined effect of all 24 fibrinogen-associated lead single-nucleotide polymorphisms was not significant for coronary artery disease, stroke, or venous thromboembolism.

CONCLUSIONS: We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and coronary artery disease, stroke, or venous thromboembolism.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Cardiovascular Diseases, Coronary Artery Disease, European Continental Ancestry Group, Female, Fibrinogen, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic Americans, Humans, Male, Middle Aged, Myocardial Infarction, Polymorphism, Single Nucleotide, Risk Factors, Stroke, Venous Thromboembolism, Young Adult}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.113.002251}, author = {Sabater-Lleal, Maria and Huang, Jie and Chasman, Daniel and Naitza, Silvia and Dehghan, Abbas and Johnson, Andrew D and Teumer, Alexander and Reiner, Alex P and Folkersen, Lasse and Basu, Saonli and Rudnicka, Alicja R and Trompet, Stella and M{\"a}larstig, Anders and Baumert, Jens and Bis, Joshua C and Guo, Xiuqing and Hottenga, Jouke J and Shin, So-Youn and Lopez, Lorna M and Lahti, Jari and Tanaka, Toshiko and Yanek, Lisa R and Oudot-Mellakh, Tiphaine and Wilson, James F and Navarro, Pau and Huffman, Jennifer E and Zemunik, Tatijana and Redline, Susan and Mehra, Reena and Pulanic, Drazen and Rudan, Igor and Wright, Alan F and Kolcic, Ivana and Polasek, Ozren and Wild, Sarah H and Campbell, Harry and Curb, J David and Wallace, Robert and Liu, Simin and Eaton, Charles B and Becker, Diane M and Becker, Lewis C and Bandinelli, Stefania and R{\"a}ikk{\"o}nen, Katri and Widen, Elisabeth and Palotie, Aarno and Fornage, Myriam and Green, David and Gross, Myron and Davies, Gail and Harris, Sarah E and Liewald, David C and Starr, John M and Williams, Frances M K and Grant, Peter J and Spector, Timothy D and Strawbridge, Rona J and Silveira, Angela and Sennblad, Bengt and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofman, Albert and van Dongen, Jenny and Willemsen, Gonneke and Boomsma, Dorret I and Yao, Jie and Swords Jenny, Nancy and Haritunians, Talin and McKnight, Barbara and Lumley, Thomas and Taylor, Kent D and Rotter, Jerome I and Psaty, Bruce M and Peters, Annette and Gieger, Christian and Illig, Thomas and Grotevendt, Anne and Homuth, Georg and V{\"o}lzke, Henry and Kocher, Thomas and Goel, Anuj and Franzosi, Maria Grazia and Seedorf, Udo and Clarke, Robert and Steri, Maristella and Tarasov, Kirill V and Sanna, Serena and Schlessinger, David and Stott, David J and Sattar, Naveed and Buckley, Brendan M and Rumley, Ann and Lowe, Gordon D and McArdle, Wendy L and Chen, Ming-Huei and Tofler, Geoffrey H and Song, Jaejoon and Boerwinkle, Eric and Folsom, Aaron R and Rose, Lynda M and Franco-Cereceda, Anders and Teichert, Martina and Ikram, M Arfan and Mosley, Thomas H and Bevan, Steve and Dichgans, Martin and Rothwell, Peter M and Sudlow, Cathie L M and Hopewell, Jemma C and Chambers, John C and Saleheen, Danish and Kooner, Jaspal S and Danesh, John and Nelson, Christopher P and Erdmann, Jeanette and Reilly, Muredach P and Kathiresan, Sekar and Schunkert, Heribert and Morange, Pierre-Emmanuel and Ferrucci, Luigi and Eriksson, Johan G and Jacobs, David and Deary, Ian J and Soranzo, Nicole and Witteman, Jacqueline C M and de Geus, Eco J C and Tracy, Russell P and Hayward, Caroline and Koenig, Wolfgang and Cucca, Francesco and Jukema, J Wouter and Eriksson, Per and Seshadri, Sudha and Markus, Hugh S and Watkins, Hugh and Samani, Nilesh J and Wallaschofski, Henri and Smith, Nicholas L and Tregouet, David and Ridker, Paul M and Tang, Weihong and Strachan, David P and Hamsten, Anders and O{\textquoteright}Donnell, Christopher J} } @article {6292, title = {No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population.}, journal = {Hum Genet}, volume = {132}, year = {2013}, month = {2013 Dec}, pages = {1427-31}, abstract = {

Genome-wide association studies (GWAS) have identified many variants that influence high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and/or triglycerides. However, environmental modifiers, such as smoking, of these known genotype-phenotype associations are just recently emerging in the literature. We have tested for interactions between smoking and 49 GWAS-identified variants in over 41,000 racially/ethnically diverse samples with lipid levels from the Population Architecture Using Genomics and Epidemiology (PAGE) study. Despite their biological plausibility, we were unable to detect significant SNP {\texttimes} smoking interactions.

}, keywords = {Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Ethnic Groups, Female, Gene Frequency, Gene-Environment Interaction, Genetics, Population, Genome-Wide Association Study, Humans, Lipid Metabolism, Male, Polymorphism, Single Nucleotide, Prevalence, Smoking, Triglycerides, Young Adult}, issn = {1432-1203}, doi = {10.1007/s00439-013-1375-3}, author = {Dumitrescu, Logan and Carty, Cara L and Franceschini, Nora and Hindorff, Lucia A and Cole, Shelley A and B{\r u}zkov{\'a}, Petra and Schumacher, Fredrick R and Eaton, Charles B and Goodloe, Robert J and Duggan, David J and Haessler, Jeff and Cochran, Barbara and Henderson, Brian E and Cheng, Iona and Johnson, Karen C and Carlson, Chris S and Love, Shelly-Anne and Brown-Gentry, Kristin and Nato, Alejandro Q and Quibrera, Miguel and Shohet, Ralph V and Ambite, Jose Luis and Wilkens, Lynne R and Le Marchand, Lo{\"\i}c and Haiman, Christopher A and Buyske, Steven and Kooperberg, Charles and North, Kari E and Fornage, Myriam and Crawford, Dana C} } @article {6111, title = {Post-genome-wide association study challenges for lipid traits: describing age as a modifier of gene-lipid associations in the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {Ann Hum Genet}, volume = {77}, year = {2013}, month = {2013 Sep}, pages = {416-25}, abstract = {

Numerous common genetic variants that influence plasma high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), and triglyceride distributions have been identified via genome-wide association studies (GWAS). However, whether or not these associations are age-dependent has largely been overlooked. We conducted an association study and meta-analysis in more than 22,000 European Americans between 49 previously identified GWAS variants and the three lipid traits, stratified by age (males: <50 or >=50 years of age; females: pre- or postmenopausal). For each variant, a test of heterogeneity was performed between the two age strata and significant Phet values were used as evidence of age-specific genetic effects. We identified seven associations in females and eight in males that displayed suggestive heterogeneity by age (Phet < 0.05). The association between rs174547 (FADS1) and LDL-C in males displayed the most evidence for heterogeneity between age groups (Phet = 1.74E-03, I(2) = 89.8), with a significant association in older males (P = 1.39E-06) but not younger males (P = 0.99). However, none of the suggestive modifying effects survived adjustment for multiple testing, highlighting the challenges of identifying modifiers of modest SNP-trait associations despite large sample sizes.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Lipids, Male, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Quantitative Trait, Heritable, Risk Factors}, issn = {1469-1809}, doi = {10.1111/ahg.12027}, author = {Dumitrescu, Logan and Carty, Cara L and Franceschini, Nora and Hindorff, Lucia A and Cole, Shelley A and B{\r u}zkov{\'a}, Petra and Schumacher, Fredrick R and Eaton, Charles B and Goodloe, Robert J and Duggan, David J and Haessler, Jeff and Cochran, Barbara and Henderson, Brian E and Cheng, Iona and Johnson, Karen C and Carlson, Chris S and Love, Shelly-Ann and Brown-Gentry, Kristin and Nato, Alejandro Q and Quibrera, Miguel and Anderson, Garnet and Shohet, Ralph V and Ambite, Jose Luis and Wilkens, Lynne R and Marchand, Loic Le and Haiman, Christopher A and Buyske, Steven and Kooperberg, Charles and North, Kari E and Fornage, Myriam and Crawford, Dana C} } @article {6569, title = {Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data.}, journal = {BMJ}, volume = {349}, year = {2014}, month = {2014 Jul 10}, pages = {g4164}, abstract = {

OBJECTIVE: To use the rs1229984 variant in the alcohol dehydrogenase 1B gene (ADH1B) as an instrument to investigate the causal role of alcohol in cardiovascular disease.

DESIGN: Mendelian randomisation meta-analysis of 56 epidemiological studies.

PARTICIPANTS: 261 991 individuals of European descent, including 20 259 coronary heart disease cases and 10 164 stroke events. Data were available on ADH1B rs1229984 variant, alcohol phenotypes, and cardiovascular biomarkers.

MAIN OUTCOME MEASURES: Odds ratio for coronary heart disease and stroke associated with the ADH1B variant in all individuals and by categories of alcohol consumption.

RESULTS: Carriers of the A-allele of ADH1B rs1229984 consumed 17.2\% fewer units of alcohol per week (95\% confidence interval 15.6\% to 18.9\%), had a lower prevalence of binge drinking (odds ratio 0.78 (95\% CI 0.73 to 0.84)), and had higher abstention (odds ratio 1.27 (1.21 to 1.34)) than non-carriers. Rs1229984 A-allele carriers had lower systolic blood pressure (-0.88 (-1.19 to -0.56) mm Hg), interleukin-6 levels (-5.2\% (-7.8 to -2.4\%)), waist circumference (-0.3 (-0.6 to -0.1) cm), and body mass index (-0.17 (-0.24 to -0.10) kg/m(2)). Rs1229984 A-allele carriers had lower odds of coronary heart disease (odds ratio 0.90 (0.84 to 0.96)). The protective association of the ADH1B rs1229984 A-allele variant remained the same across all categories of alcohol consumption (P=0.83 for heterogeneity). Although no association of rs1229984 was identified with the combined subtypes of stroke, carriers of the A-allele had lower odds of ischaemic stroke (odds ratio 0.83 (0.72 to 0.95)).

CONCLUSIONS: Individuals with a genetic variant associated with non-drinking and lower alcohol consumption had a more favourable cardiovascular profile and a reduced risk of coronary heart disease than those without the genetic variant. This suggests that reduction of alcohol consumption, even for light to moderate drinkers, is beneficial for cardiovascular health.

}, keywords = {Adult, Aged, Alcohol Dehydrogenase, Alcohol Drinking, Biomarkers, Coronary Disease, Female, Genetic Markers, Genotype, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Models, Statistical, Polymorphism, Single Nucleotide, Stroke}, issn = {1756-1833}, doi = {10.1136/bmj.g4164}, author = {Holmes, Michael V and Dale, Caroline E and Zuccolo, Luisa and Silverwood, Richard J and Guo, Yiran and Ye, Zheng and Prieto-Merino, David and Dehghan, Abbas and Trompet, Stella and Wong, Andrew and Cavadino, Alana and Drogan, Dagmar and Padmanabhan, Sandosh and Li, Shanshan and Yesupriya, Ajay and Leusink, Maarten and Sundstr{\"o}m, Johan and Hubacek, Jaroslav A and Pikhart, Hynek and Swerdlow, Daniel I and Panayiotou, Andrie G and Borinskaya, Svetlana A and Finan, Chris and Shah, Sonia and Kuchenbaecker, Karoline B and Shah, Tina and Engmann, Jorgen and Folkersen, Lasse and Eriksson, Per and Ricceri, Fulvio and Melander, Olle and Sacerdote, Carlotta and Gamble, Dale M and Rayaprolu, Sruti and Ross, Owen A and McLachlan, Stela and Vikhireva, Olga and Sluijs, Ivonne and Scott, Robert A and Adamkova, Vera and Flicker, Leon and Bockxmeer, Frank M van and Power, Christine and Marques-Vidal, Pedro and Meade, Tom and Marmot, Michael G and Ferro, Jose M and Paulos-Pinheiro, Sofia and Humphries, Steve E and Talmud, Philippa J and Mateo Leach, Irene and Verweij, Niek and Linneberg, Allan and Skaaby, Tea and Doevendans, Pieter A and Cramer, Maarten J and van der Harst, Pim and Klungel, Olaf H and Dowling, Nicole F and Dominiczak, Anna F and Kumari, Meena and Nicolaides, Andrew N and Weikert, Cornelia and Boeing, Heiner and Ebrahim, Shah and Gaunt, Tom R and Price, Jackie F and Lannfelt, Lars and Peasey, Anne and Kubinova, Ruzena and Pajak, Andrzej and Malyutina, Sofia and Voevoda, Mikhail I and Tamosiunas, Abdonas and Maitland-van der Zee, Anke H and Norman, Paul E and Hankey, Graeme J and Bergmann, Manuela M and Hofman, Albert and Franco, Oscar H and Cooper, Jackie and Palmen, Jutta and Spiering, Wilko and de Jong, Pim A and Kuh, Diana and Hardy, Rebecca and Uitterlinden, Andr{\'e} G and Ikram, M Arfan and Ford, Ian and Hypp{\"o}nen, Elina and Almeida, Osvaldo P and Wareham, Nicholas J and Khaw, Kay-Tee and Hamsten, Anders and Husemoen, Lise Lotte N and Tj{\o}nneland, Anne and Tolstrup, Janne S and Rimm, Eric and Beulens, Joline W J and Verschuren, W M Monique and Onland-Moret, N Charlotte and Hofker, Marten H and Wannamethee, S Goya and Whincup, Peter H and Morris, Richard and Vicente, Astrid M and Watkins, Hugh and Farrall, Martin and Jukema, J Wouter and Meschia, James and Cupples, L Adrienne and Sharp, Stephen J and Fornage, Myriam and Kooperberg, Charles and LaCroix, Andrea Z and Dai, James Y and Lanktree, Matthew B and Siscovick, David S and Jorgenson, Eric and Spring, Bonnie and Coresh, Josef and Li, Yun R and Buxbaum, Sarah G and Schreiner, Pamela J and Ellison, R Curtis and Tsai, Michael Y and Patel, Sanjay R and Redline, Susan and Johnson, Andrew D and Hoogeveen, Ron C and Hakonarson, Hakon and Rotter, Jerome I and Boerwinkle, Eric and de Bakker, Paul I W and Kivimaki, Mika and Asselbergs, Folkert W and Sattar, Naveed and Lawlor, Debbie A and Whittaker, John and Davey Smith, George and Mukamal, Kenneth and Psaty, Bruce M and Wilson, James G and Lange, Leslie A and Hamidovic, Ajna and Hingorani, Aroon D and Nordestgaard, B{\o}rge G and Bobak, Martin and Leon, David A and Langenberg, Claudia and Palmer, Tom M and Reiner, Alex P and Keating, Brendan J and Dudbridge, Frank and Casas, Juan P} } @article {6590, title = {Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {223-32}, abstract = {

Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1\% and 2\%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.

}, keywords = {1-Alkyl-2-acetylglycerophosphocholine Esterase, Adult, African Continental Ancestry Group, Aged, Alleles, Animals, Cholesterol, HDL, Cholesterol, LDL, Cohort Studies, Coronary Disease, European Continental Ancestry Group, Female, Gene Frequency, Genetic Association Studies, Genetic Code, Genetic Variation, Humans, Linear Models, Male, Mice, Mice, Inbred C57BL, Microtubule-Associated Proteins, Middle Aged, Phenotype, Sequence Analysis, DNA, Subtilisins, Triglycerides}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.009}, author = {Peloso, Gina M and Auer, Paul L and Bis, Joshua C and Voorman, Arend and Morrison, Alanna C and Stitziel, Nathan O and Brody, Jennifer A and Khetarpal, Sumeet A and Crosby, Jacy R and Fornage, Myriam and Isaacs, Aaron and Jakobsdottir, Johanna and Feitosa, Mary F and Davies, Gail and Huffman, Jennifer E and Manichaikul, Ani and Davis, Brian and Lohman, Kurt and Joon, Aron Y and Smith, Albert V and Grove, Megan L and Zanoni, Paolo and Redon, Valeska and Demissie, Serkalem and Lawson, Kim and Peters, Ulrike and Carlson, Christopher and Jackson, Rebecca D and Ryckman, Kelli K and Mackey, Rachel H and Robinson, Jennifer G and Siscovick, David S and Schreiner, Pamela J and Mychaleckyj, Josyf C and Pankow, James S and Hofman, Albert and Uitterlinden, Andr{\'e} G and Harris, Tamara B and Taylor, Kent D and Stafford, Jeanette M and Reynolds, Lindsay M and Marioni, Riccardo E and Dehghan, Abbas and Franco, Oscar H and Patel, Aniruddh P and Lu, Yingchang and Hindy, George and Gottesman, Omri and Bottinger, Erwin P and Melander, Olle and Orho-Melander, Marju and Loos, Ruth J F and Duga, Stefano and Merlini, Piera Angelica and Farrall, Martin and Goel, Anuj and Asselta, Rosanna and Girelli, Domenico and Martinelli, Nicola and Shah, Svati H and Kraus, William E and Li, Mingyao and Rader, Daniel J and Reilly, Muredach P and McPherson, Ruth and Watkins, Hugh and Ardissino, Diego and Zhang, Qunyuan and Wang, Judy and Tsai, Michael Y and Taylor, Herman A and Correa, Adolfo and Griswold, Michael E and Lange, Leslie A and Starr, John M and Rudan, Igor and Eiriksdottir, Gudny and Launer, Lenore J and Ordovas, Jose M and Levy, Daniel and Chen, Y-D Ida and Reiner, Alexander P and Hayward, Caroline and Polasek, Ozren and Deary, Ian J and Borecki, Ingrid B and Liu, Yongmei and Gudnason, Vilmundur and Wilson, James G and van Duijn, Cornelia M and Kooperberg, Charles and Rich, Stephen S and Psaty, Bruce M and Rotter, Jerome I and O{\textquoteright}Donnell, Christopher J and Rice, Kenneth and Boerwinkle, Eric and Kathiresan, Sekar and Cupples, L Adrienne} } @article {6548, title = {Associations of NINJ2 sequence variants with incident ischemic stroke in the Cohorts for Heart and Aging in Genomic Epidemiology (CHARGE) consortium.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e99798}, abstract = {

BACKGROUND: Stroke, the leading neurologic cause of death and disability, has a substantial genetic component. We previously conducted a genome-wide association study (GWAS) in four prospective studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and demonstrated that sequence variants near the NINJ2 gene are associated with incident ischemic stroke. Here, we sought to fine-map functional variants in the region and evaluate the contribution of rare variants to ischemic stroke risk.

METHODS AND RESULTS: We sequenced 196 kb around NINJ2 on chromosome 12p13 among 3,986 European ancestry participants, including 475 ischemic stroke cases, from the Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, and Framingham Heart Study. Meta-analyses of single-variant tests for 425 common variants (minor allele frequency [MAF] >= 1\%) confirmed the original GWAS results and identified an independent intronic variant, rs34166160 (MAF = 0.012), most significantly associated with incident ischemic stroke (HR = 1.80, p = 0.0003). Aggregating 278 putatively-functional variants with MAF<= 1\% using count statistics, we observed a nominally statistically significant association, with the burden of rare NINJ2 variants contributing to decreased ischemic stroke incidence (HR = 0.81; p = 0.026).

CONCLUSION: Common and rare variants in the NINJ2 region were nominally associated with incident ischemic stroke among a subset of CHARGE participants. Allelic heterogeneity at this locus, caused by multiple rare, low frequency, and common variants with disparate effects on risk, may explain the difficulties in replicating the original GWAS results. Additional studies that take into account the complex allelic architecture at this locus are needed to confirm these findings.

}, keywords = {Cell Adhesion Molecules, Neuronal, European Continental Ancestry Group, Female, Genetic Association Studies, Genetic Heterogeneity, Humans, Introns, Ischemia, Male, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies, Sequence Analysis, DNA}, issn = {1932-6203}, doi = {10.1371/journal.pone.0099798}, author = {Bis, Joshua C and DeStefano, Anita and Liu, Xiaoming and Brody, Jennifer A and Choi, Seung Hoan and Verhaaren, Benjamin F J and Debette, Stephanie and Ikram, M Arfan and Shahar, Eyal and Butler, Kenneth R and Gottesman, Rebecca F and Muzny, Donna and Kovar, Christie L and Psaty, Bruce M and Hofman, Albert and Lumley, Thomas and Gupta, Mayetri and Wolf, Philip A and van Duijn, Cornelia and Gibbs, Richard A and Mosley, Thomas H and Longstreth, W T and Boerwinkle, Eric and Seshadri, Sudha and Fornage, Myriam} } @article {6556, title = {Effect of genetic variants associated with plasma homocysteine levels on stroke risk.}, journal = {Stroke}, volume = {45}, year = {2014}, month = {2014 Jul}, pages = {1920-4}, abstract = {

BACKGROUND AND PURPOSE: Elevated total plasma homocysteine (tHcy) levels are known to be associated with increased risk of ischemic stroke (IS). Given that both tHcy and IS are heritable traits, we investigated a potential genetic relationship between homocysteine levels and stroke risk by assessing 18 polymorphisms previously associated with tHcy levels for their association with IS and its subtypes.

METHODS: Previous meta-analysis results from an international stroke collaborative network, METASTROKE, were used to assess association of the 18 tHcy-associated single-nucleotide polymorphisms (SNPs) in 12 389 IS cases and 62 004 controls. We also investigated the associations in regions located within 50 kb from the 18 tHcy-related SNPs and the association of a genetic risk score, including the 18 SNPs.

RESULTS: One SNP located in the RASIP1 gene and a cluster of 3 SNPs located at and near SLC17A3 were significantly associated with IS (P<0.0003) after correcting for multiple testing. For stroke subtypes, the sentinel SNP located upstream of MUT was significantly associated with small-vessel disease (P=0.0022), whereas 1 SNP located in MTHFR was significantly associated with large-vessel disease (P=0.00019). A genetic risk score, including the 18 SNPs, did not show significant association with IS or its subtypes.

CONCLUSIONS: This study found several potential associations with IS and its subtypes: an association of an MUT variant with small-vessel disease, an MTHFR variant with large-vessel disease, and associations of RASIP1 and SLC17A3 variants with overall IS.

}, keywords = {Brain Ischemia, Cohort Studies, Europe, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome, Homocysteine, Humans, Polymorphism, Single Nucleotide, Risk, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.114.005208}, author = {Cotlarciuc, Ioana and Malik, Rainer and Holliday, Elizabeth G and Ahmadi, Kourosh R and Par{\'e}, Guillaume and Psaty, Bruce M and Fornage, Myriam and Hasan, Nazeeha and Rinne, Paul E and Ikram, M Arfan and Markus, Hugh S and Rosand, Jonathan and Mitchell, Braxton D and Kittner, Steven J and Meschia, James F and van Meurs, Joyce B J and Uitterlinden, Andr{\'e} G and Worrall, Bradford B and Dichgans, Martin and Sharma, Pankaj} } @article {6563, title = {Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations.}, journal = {Am J Hum Genet}, volume = {95}, year = {2014}, month = {2014 Jul 03}, pages = {49-65}, abstract = {

Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 {\texttimes} 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20\% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.

}, keywords = {Blood Pressure, Genome-Wide Association Study, Humans, Longitudinal Studies, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.06.002}, author = {Ganesh, Santhi K and Chasman, Daniel I and Larson, Martin G and Guo, Xiuqing and Verwoert, Germain and Bis, Joshua C and Gu, Xiangjun and Smith, Albert V and Yang, Min-Lee and Zhang, Yan and Ehret, Georg and Rose, Lynda M and Hwang, Shih-Jen and Papanicolau, George J and Sijbrands, Eric J and Rice, Kenneth and Eiriksdottir, Gudny and Pihur, Vasyl and Ridker, Paul M and Vasan, Ramachandran S and Newton-Cheh, Christopher and Raffel, Leslie J and Amin, Najaf and Rotter, Jerome I and Liu, Kiang and Launer, Lenore J and Xu, Ming and Caulfield, Mark and Morrison, Alanna C and Johnson, Andrew D and Vaidya, Dhananjay and Dehghan, Abbas and Li, Guo and Bouchard, Claude and Harris, Tamara B and Zhang, He and Boerwinkle, Eric and Siscovick, David S and Gao, Wei and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and Hofman, Albert and Willer, Cristen J and Franco, Oscar H and Huo, Yong and Witteman, Jacqueline C M and Munroe, Patricia B and Gudnason, Vilmundur and Palmas, Walter and van Duijn, Cornelia and Fornage, Myriam and Levy, Daniel and Psaty, Bruce M and Chakravarti, Aravinda} } @article {6599, title = {Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia.}, journal = {Am J Hum Genet}, volume = {95}, year = {2014}, month = {2014 Jul 03}, pages = {24-38}, abstract = {

Although age-dependent effects on blood pressure (BP) have been reported, they have not been systematically investigated in large-scale genome-wide association studies (GWASs). We leveraged the infrastructure of three well-established consortia (CHARGE, GBPgen, and ICBP) and a nonstandard approach (age stratification and metaregression) to conduct a genome-wide search of common variants with age-dependent effects on systolic (SBP), diastolic (DBP), mean arterial (MAP), and pulse (PP) pressure. In a two-staged design using 99,241 individuals of European ancestry, we identified 20 genome-wide significant (p <= 5 {\texttimes} 10(-8)) loci by using joint tests of the SNP main effect and SNP-age interaction. Nine of the significant loci demonstrated nominal evidence of age-dependent effects on BP by tests of the interactions alone. Index SNPs in the EHBP1L1 (DBP and MAP), CASZ1 (SBP and MAP), and GOSR2 (PP) loci exhibited the largest age interactions, with opposite directions of effect in the young versus the old. The changes in the genetic effects over time were small but nonnegligible (up to 1.58 mm Hg over 60 years). The EHBP1L1 locus was discovered through gene-age interactions only in whites but had DBP main effects replicated (p = 8.3 {\texttimes} 10(-4)) in 8,682 Asians from Singapore, indicating potential interethnic heterogeneity. A secondary analysis revealed 22 loci with evidence of age-specific effects (e.g., only in 20 to 29-year-olds). Age can be used to select samples with larger genetic effect sizes and more homogenous phenotypes, which may increase statistical power. Age-dependent effects identified through novel statistical approaches can provide insight into the biology and temporal regulation underlying BP associations.

}, keywords = {Adolescent, Adult, Age Factors, Aged, Blood Pressure, Cohort Studies, Humans, Middle Aged, Young Adult}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.05.010}, author = {Simino, Jeannette and Shi, Gang and Bis, Joshua C and Chasman, Daniel I and Ehret, Georg B and Gu, Xiangjun and Guo, Xiuqing and Hwang, Shih-Jen and Sijbrands, Eric and Smith, Albert V and Verwoert, Germaine C and Bragg-Gresham, Jennifer L and Cadby, Gemma and Chen, Peng and Cheng, Ching-Yu and Corre, Tanguy and de Boer, Rudolf A and Goel, Anuj and Johnson, Toby and Khor, Chiea-Chuen and Llu{\'\i}s-Ganella, Carla and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Sim, Xueling and S{\~o}ber, Siim and van der Most, Peter J and Verweij, Niek and Zhao, Jing Hua and Amin, Najaf and Boerwinkle, Eric and Bouchard, Claude and Dehghan, Abbas and Eiriksdottir, Gudny and Elosua, Roberto and Franco, Oscar H and Gieger, Christian and Harris, Tamara B and Hercberg, Serge and Hofman, Albert and James, Alan L and Johnson, Andrew D and K{\"a}h{\"o}nen, Mika and Khaw, Kay-Tee and Kutalik, Zolt{\'a}n and Larson, Martin G and Launer, Lenore J and Li, Guo and Liu, Jianjun and Liu, Kiang and Morrison, Alanna C and Navis, Gerjan and Ong, Rick Twee-Hee and Papanicolau, George J and Penninx, Brenda W and Psaty, Bruce M and Raffel, Leslie J and Raitakari, Olli T and Rice, Kenneth and Rivadeneira, Fernando and Rose, Lynda M and Sanna, Serena and Scott, Robert A and Siscovick, David S and Stolk, Ronald P and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and van der Klauw, Melanie M and Vasan, Ramachandran S and Vithana, Eranga Nishanthie and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Hugh and Young, Terri L and Aung, Tin and Bochud, Murielle and Farrall, Martin and Hartman, Catharina A and Laan, Maris and Lakatta, Edward G and Lehtim{\"a}ki, Terho and Loos, Ruth J F and Lucas, Gavin and Meneton, Pierre and Palmer, Lyle J and Rettig, Rainer and Snieder, Harold and Tai, E Shyong and Teo, Yik-Ying and van der Harst, Pim and Wareham, Nicholas J and Wijmenga, Cisca and Wong, Tien Yin and Fornage, Myriam and Gudnason, Vilmundur and Levy, Daniel and Palmas, Walter and Ridker, Paul M and Rotter, Jerome I and van Duijn, Cornelia M and Witteman, Jacqueline C M and Chakravarti, Aravinda and Rao, Dabeeru C} } @article {6582, title = {Genome-wide association analysis identifies six new loci associated with forced vital capacity.}, journal = {Nat Genet}, volume = {46}, year = {2014}, month = {2014 Jul}, pages = {669-77}, abstract = {

Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 {\texttimes} 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.

}, keywords = {Cohort Studies, Databases, Genetic, Follow-Up Studies, Forced Expiratory Volume, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung Diseases, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Respiratory Function Tests, Spirometry, Vital Capacity}, issn = {1546-1718}, doi = {10.1038/ng.3011}, author = {Loth, Daan W and Soler Artigas, Maria and Gharib, Sina A and Wain, Louise V and Franceschini, Nora and Koch, Beate and Pottinger, Tess D and Smith, Albert Vernon and Duan, Qing and Oldmeadow, Chris and Lee, Mi Kyeong and Strachan, David P and James, Alan L and Huffman, Jennifer E and Vitart, Veronique and Ramasamy, Adaikalavan and Wareham, Nicholas J and Kaprio, Jaakko and Wang, Xin-Qun and Trochet, Holly and K{\"a}h{\"o}nen, Mika and Flexeder, Claudia and Albrecht, Eva and Lopez, Lorna M and de Jong, Kim and Thyagarajan, Bharat and Alves, Alexessander Couto and Enroth, Stefan and Omenaas, Ernst and Joshi, Peter K and Fall, Tove and Vi{\~n}uela, Ana and Launer, Lenore J and Loehr, Laura R and Fornage, Myriam and Li, Guo and Wilk, Jemma B and Tang, Wenbo and Manichaikul, Ani and Lahousse, Lies and Harris, Tamara B and North, Kari E and Rudnicka, Alicja R and Hui, Jennie and Gu, Xiangjun and Lumley, Thomas and Wright, Alan F and Hastie, Nicholas D and Campbell, Susan and Kumar, Rajesh and Pin, Isabelle and Scott, Robert A and Pietil{\"a}inen, Kirsi H and Surakka, Ida and Liu, Yongmei and Holliday, Elizabeth G and Schulz, Holger and Heinrich, Joachim and Davies, Gail and Vonk, Judith M and Wojczynski, Mary and Pouta, Anneli and Johansson, Asa and Wild, Sarah H and Ingelsson, Erik and Rivadeneira, Fernando and V{\"o}lzke, Henry and Hysi, Pirro G and Eiriksdottir, Gudny and Morrison, Alanna C and Rotter, Jerome I and Gao, Wei and Postma, Dirkje S and White, Wendy B and Rich, Stephen S and Hofman, Albert and Aspelund, Thor and Couper, David and Smith, Lewis J and Psaty, Bruce M and Lohman, Kurt and Burchard, Esteban G and Uitterlinden, Andr{\'e} G and Garcia, Melissa and Joubert, Bonnie R and McArdle, Wendy L and Musk, A Bill and Hansel, Nadia and Heckbert, Susan R and Zgaga, Lina and van Meurs, Joyce B J and Navarro, Pau and Rudan, Igor and Oh, Yeon-Mok and Redline, Susan and Jarvis, Deborah L and Zhao, Jing Hua and Rantanen, Taina and O{\textquoteright}Connor, George T and Ripatti, Samuli and Scott, Rodney J and Karrasch, Stefan and Grallert, Harald and Gaddis, Nathan C and Starr, John M and Wijmenga, Cisca and Minster, Ryan L and Lederer, David J and Pekkanen, Juha and Gyllensten, Ulf and Campbell, Harry and Morris, Andrew P and Gl{\"a}ser, Sven and Hammond, Christopher J and Burkart, Kristin M and Beilby, John and Kritchevsky, Stephen B and Gudnason, Vilmundur and Hancock, Dana B and Williams, O Dale and Polasek, Ozren and Zemunik, Tatijana and Kolcic, Ivana and Petrini, Marcy F and Wjst, Matthias and Kim, Woo Jin and Porteous, David J and Scotland, Generation and Smith, Blair H and Viljanen, Anne and Heli{\"o}vaara, Markku and Attia, John R and Sayers, Ian and Hampel, Regina and Gieger, Christian and Deary, Ian J and Boezen, H Marike and Newman, Anne and Jarvelin, Marjo-Riitta and Wilson, James F and Lind, Lars and Stricker, Bruno H and Teumer, Alexander and Spector, Timothy D and Mel{\'e}n, Erik and Peters, Marjolein J and Lange, Leslie A and Barr, R Graham and Bracke, Ken R and Verhamme, Fien M and Sung, Joohon and Hiemstra, Pieter S and Cassano, Patricia A and Sood, Akshay and Hayward, Caroline and Dupuis, Jos{\'e}e and Hall, Ian P and Brusselle, Guy G and Tobin, Martin D and London, Stephanie J} } @article {6367, title = {Genome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {34}, year = {2014}, month = {2014 May}, pages = {1093-101}, abstract = {

OBJECTIVE: Tissue plasminogen activator (tPA), a serine protease, catalyzes the conversion of plasminogen to plasmin, the major enzyme responsible for endogenous fibrinolysis. In some populations, elevated plasma levels of tPA have been associated with myocardial infarction and other cardiovascular diseases. We conducted a meta-analysis of genome-wide association studies to identify novel correlates of circulating levels of tPA.

APPROACH AND RESULTS: Fourteen cohort studies with tPA measures (N=26 929) contributed to the meta-analysis. Three loci were significantly associated with circulating tPA levels (P<5.0{\texttimes}10(-8)). The first locus is on 6q24.3, with the lead single nucleotide polymorphism (SNP; rs9399599; P=2.9{\texttimes}10(-14)) within STXBP5. The second locus is on 8p11.21. The lead SNP (rs3136739; P=1.3{\texttimes}10(-9)) is intronic to POLB and <200 kb away from the tPA encoding the gene PLAT. We identified a nonsynonymous SNP (rs2020921) in modest linkage disequilibrium with rs3136739 (r(2)=0.50) within exon 5 of PLAT (P=2.0{\texttimes}10(-8)). The third locus is on 12q24.33, with the lead SNP (rs7301826; P=1.0{\texttimes}10(-9)) within intron 7 of STX2. We further found evidence for the association of lead SNPs in STXBP5 and STX2 with expression levels of the respective transcripts. In in vitro cell studies, silencing STXBP5 decreased the release of tPA from vascular endothelial cells, whereas silencing STX2 increased the tPA release. Through an in silico lookup, we found no associations of the 3 lead SNPs with coronary artery disease or stroke.

CONCLUSIONS: We identified 3 loci associated with circulating tPA levels, the PLAT region, STXBP5, and STX2. Our functional studies implicate a novel role for STXBP5 and STX2 in regulating tPA release.

}, keywords = {Aged, Cells, Cultured, Coronary Artery Disease, Endothelial Cells, Europe, Female, Gene Expression Regulation, Gene Silencing, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Phenotype, Polymorphism, Single Nucleotide, R-SNARE Proteins, Risk Factors, Stroke, Syntaxin 1, Tissue Plasminogen Activator, Transfection, United States, Up-Regulation}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.113.302088}, author = {Huang, Jie and Huffman, Jennifer E and Yamakuchi, Munekazu and Yamkauchi, Munekazu and Trompet, Stella and Asselbergs, Folkert W and Sabater-Lleal, Maria and Tr{\'e}gou{\"e}t, David-Alexandre and Chen, Wei-Min and Smith, Nicholas L and Kleber, Marcus E and Shin, So-Youn and Becker, Diane M and Tang, Weihong and Dehghan, Abbas and Johnson, Andrew D and Truong, Vinh and Folkersen, Lasse and Yang, Qiong and Oudot-Mellkah, Tiphaine and Buckley, Brendan M and Moore, Jason H and Williams, Frances M K and Campbell, Harry and Silbernagel, G{\"u}nther and Vitart, Veronique and Rudan, Igor and Tofler, Geoffrey H and Navis, Gerjan J and DeStefano, Anita and Wright, Alan F and Chen, Ming-Huei and de Craen, Anton J M and Worrall, Bradford B and Rudnicka, Alicja R and Rumley, Ann and Bookman, Ebony B and Psaty, Bruce M and Chen, Fang and Keene, Keith L and Franco, Oscar H and B{\"o}hm, Bernhard O and Uitterlinden, Andr{\'e} G and Carter, Angela M and Jukema, J Wouter and Sattar, Naveed and Bis, Joshua C and Ikram, Mohammad A and Sale, Mich{\`e}le M and McKnight, Barbara and Fornage, Myriam and Ford, Ian and Taylor, Kent and Slagboom, P Eline and McArdle, Wendy L and Hsu, Fang-Chi and Franco-Cereceda, Anders and Goodall, Alison H and Yanek, Lisa R and Furie, Karen L and Cushman, Mary and Hofman, Albert and Witteman, Jacqueline C M and Folsom, Aaron R and Basu, Saonli and Matijevic, Nena and van Gilst, Wiek H and Wilson, James F and Westendorp, Rudi G J and Kathiresan, Sekar and Reilly, Muredach P and Tracy, Russell P and Polasek, Ozren and Winkelmann, Bernhard R and Grant, Peter J and Hillege, Hans L and Cambien, Francois and Stott, David J and Lowe, Gordon D and Spector, Timothy D and Meigs, James B and M{\"a}rz, Winfried and Eriksson, Per and Becker, Lewis C and Morange, Pierre-Emmanuel and Soranzo, Nicole and Williams, Scott M and Hayward, Caroline and van der Harst, Pim and Hamsten, Anders and Lowenstein, Charles J and Strachan, David P and O{\textquoteright}Donnell, Christopher J} } @article {6819, title = {Genome-wide association study of L-arginine and dimethylarginines reveals novel metabolic pathway for symmetric dimethylarginine.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Dec}, pages = {864-72}, abstract = {

BACKGROUND: Dimethylarginines (DMA) interfere with nitric oxide formation by inhibiting nitric oxide synthase (asymmetrical DMA [ADMA]) and l-arginine uptake into the cell (ADMA and symmetrical DMA [SDMA]). In prospective clinical studies, ADMA has been characterized as a cardiovascular risk marker, whereas SDMA is a novel marker for renal function and associated with all-cause mortality after ischemic stroke. The aim of the current study was to characterize the environmental and genetic contributions to interindividual variability of these biomarkers.

METHODS AND RESULTS: This study comprised a genome-wide association analysis of 3 well-characterized population-based cohorts (Framingham Heart Study [FHS; n=2992], Gutenberg Health Study [GHS; n=4354], and Multinational Monitoring of Trends and Determinants in Cardiovascular Disease Study [MONICA]/Cooperative Health Research in the Augsburg Area, Augsburg, Bavaria, Germany [KORA] F3 [n=581]) and identified replicated loci (DDAH1, MED23, Arg1, and AGXT2) associated with the interindividual variability in ADMA, l-arginine, and SDMA. Experimental in silico and in vitro studies confirmed functional significance of the identified AGXT2 variants. Clinical outcome analysis in 384 patients of the Leeds stroke study demonstrated an association between increased plasma levels of SDMA, AGXT2 variants, and various cardiometabolic risk factors. AGXT2 variants were not associated with poststroke survival in the Leeds study or were they associated with incident stroke in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

CONCLUSIONS: These genome-wide association study support the importance of DDAH1 and MED23/Arg1 in regulating ADMA and l-arginine metabolism, respectively, and identify a novel regulatory renal pathway for SDMA by AGXT2. AGXT2 variants might explain part of the pathogenic link between SDMA, renal function, and outcome. An association between AGXT2 variants and stroke is unclear and warrants further investigation.

}, keywords = {Adult, Aged, Amidohydrolases, Arginine, Binding Sites, Cohort Studies, Female, Genetic Loci, Genome-Wide Association Study, Genotype, HEK293 Cells, Humans, Male, Mediator Complex, Middle Aged, Polymorphism, Single Nucleotide, Protein Structure, Tertiary, Risk Factors, Stroke, Substrate Specificity, Transaminases}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000264}, author = {L{\"u}neburg, Nicole and Lieb, Wolfgang and Zeller, Tanja and Chen, Ming-Huei and Maas, Renke and Carter, Angela M and Xanthakis, Vanessa and Glazer, Nicole L and Schwedhelm, Edzard and Seshadri, Sudha and Ikram, Mohammad Arfan and Longstreth, William T and Fornage, Myriam and K{\"o}nig, Inke R and Loley, Christina and Ojeda, Francisco M and Schillert, Arne and Wang, Thomas J and Sticht, Heinrich and Kittel, Anja and K{\"o}nig, J{\"o}rg and Benjamin, Emelia J and Sullivan, Lisa M and Bernges, Isabel and Anderssohn, Maike and Ziegler, Andreas and Gieger, Christian and Illig, Thomas and Meisinger, Christa and Wichmann, H-Erich and Wild, Philipp S and Schunkert, Heribert and Psaty, Bruce M and Wiggins, Kerri L and Heckbert, Susan R and Smith, Nicholas and Lackner, Karl and Lunetta, Kathryn L and Blankenberg, Stefan and Erdmann, Jeanette and M{\"u}nzel, Thomas and Grant, Peter J and Vasan, Ramachandran S and B{\"o}ger, Rainer H} } @article {6567, title = {Genome-wide association study of plasma N6 polyunsaturated fatty acids within the cohorts for heart and aging research in genomic epidemiology consortium.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {321-331}, abstract = {

BACKGROUND: Omega6 (n6) polyunsaturated fatty acids (PUFAs) and their metabolites are involved in cell signaling, inflammation, clot formation, and other crucial biological processes. Genetic components, such as variants of fatty acid desaturase (FADS) genes, determine the composition of n6 PUFAs.

METHODS AND RESULTS: To elucidate undiscovered biological pathways that may influence n6 PUFA composition, we conducted genome-wide association studies and meta-analyses of associations of common genetic variants with 6 plasma n6 PUFAs in 8631 white adults (55\% women) across 5 prospective studies. Plasma phospholipid or total plasma fatty acids were analyzed by similar gas chromatography techniques. The n6 fatty acids linoleic acid (LA), γ-linolenic acid (GLA), dihomo-GLA, arachidonic acid, and adrenic acid were expressed as percentage of total fatty acids. We performed linear regression with robust SEs to test for single-nucleotide polymorphism-fatty acid associations, with pooling using inverse-variance-weighted meta-analysis. Novel regions were identified on chromosome 10 associated with LA (rs10740118; P=8.1{\texttimes}10(-9); near NRBF2), on chromosome 16 with LA, GLA, dihomo-GLA, and arachidonic acid (rs16966952; P=1.2{\texttimes}10(-15), 5.0{\texttimes}10(-11), 7.6{\texttimes}10(-65), and 2.4{\texttimes}10(-10), respectively; NTAN1), and on chromosome 6 with adrenic acid after adjustment for arachidonic acid (rs3134950; P=2.1{\texttimes}10(-10); AGPAT1). We confirmed previous findings of the FADS cluster on chromosome 11 with LA and arachidonic acid, and further observed novel genome-wide significant association of this cluster with GLA, dihomo-GLA, and adrenic acid (P=2.3{\texttimes}10(-72), 2.6{\texttimes}10(-151), and 6.3{\texttimes}10(-140), respectively).

CONCLUSIONS: Our findings suggest that along with the FADS gene cluster, additional genes may influence n6 PUFA composition.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 16, Chromosomes, Human, Pair 6, Fatty Acid Desaturases, Fatty Acids, Omega-6, Female, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Prospective Studies, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000208}, author = {Guan, Weihua and Steffen, Brian T and Lemaitre, Rozenn N and Wu, Jason H Y and Tanaka, Toshiko and Manichaikul, Ani and Foy, Millennia and Rich, Stephen S and Wang, Lu and Nettleton, Jennifer A and Tang, Weihong and Gu, Xiangjun and Bandinelli, Stafania and King, Irena B and McKnight, Barbara and Psaty, Bruce M and Siscovick, David and Djouss{\'e}, Luc and Chen, Yii-Der Ida and Ferrucci, Luigi and Fornage, Myriam and Mozafarrian, Dariush and Tsai, Michael Y and Steffen, Lyn M} } @article {6604, title = {Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e100776}, abstract = {

BACKGROUND: Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function.

METHODS: We performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis.

RESULTS: The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P  =  5.71 {\texttimes} 10(-7)). In addition, meta-analysis using the five cohorts with >=3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P  =  2.18 {\texttimes} 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively.

CONCLUSIONS: In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.

}, keywords = {Adult, Chromosomes, Human, Pair 11, Female, Gene Expression Regulation, Genetic Loci, Genome-Wide Association Study, Humans, Longitudinal Studies, Male, Respiration}, issn = {1932-6203}, doi = {10.1371/journal.pone.0100776}, author = {Tang, Wenbo and Kowgier, Matthew and Loth, Daan W and Soler Artigas, Maria and Joubert, Bonnie R and Hodge, Emily and Gharib, Sina A and Smith, Albert V and Ruczinski, Ingo and Gudnason, Vilmundur and Mathias, Rasika A and Harris, Tamara B and Hansel, Nadia N and Launer, Lenore J and Barnes, Kathleen C and Hansen, Joyanna G and Albrecht, Eva and Aldrich, Melinda C and Allerhand, Michael and Barr, R Graham and Brusselle, Guy G and Couper, David J and Curjuric, Ivan and Davies, Gail and Deary, Ian J and Dupuis, Jos{\'e}e and Fall, Tove and Foy, Millennia and Franceschini, Nora and Gao, Wei and Gl{\"a}ser, Sven and Gu, Xiangjun and Hancock, Dana B and Heinrich, Joachim and Hofman, Albert and Imboden, Medea and Ingelsson, Erik and James, Alan and Karrasch, Stefan and Koch, Beate and Kritchevsky, Stephen B and Kumar, Ashish and Lahousse, Lies and Li, Guo and Lind, Lars and Lindgren, Cecilia and Liu, Yongmei and Lohman, Kurt and Lumley, Thomas and McArdle, Wendy L and Meibohm, Bernd and Morris, Andrew P and Morrison, Alanna C and Musk, Bill and North, Kari E and Palmer, Lyle J and Probst-Hensch, Nicole M and Psaty, Bruce M and Rivadeneira, Fernando and Rotter, Jerome I and Schulz, Holger and Smith, Lewis J and Sood, Akshay and Starr, John M and Strachan, David P and Teumer, Alexander and Uitterlinden, Andr{\'e} G and V{\"o}lzke, Henry and Voorman, Arend and Wain, Louise V and Wells, Martin T and Wilk, Jemma B and Williams, O Dale and Heckbert, Susan R and Stricker, Bruno H and London, Stephanie J and Fornage, Myriam and Tobin, Martin D and O{\textquoteright}Connor, George T and Hall, Ian P and Cassano, Patricia A} } @article {6574, title = {Meta-analysis in more than 17,900 cases of ischemic stroke reveals a novel association at 12q24.12.}, journal = {Neurology}, volume = {83}, year = {2014}, month = {2014 Aug 19}, pages = {678-85}, abstract = {

OBJECTIVES: To perform a genome-wide association study (GWAS) using the Immunochip array in 3,420 cases of ischemic stroke and 6,821 controls, followed by a meta-analysis with data from more than 14,000 additional ischemic stroke cases.

METHODS: Using the Immunochip, we genotyped 3,420 ischemic stroke cases and 6,821 controls. After imputation we meta-analyzed the results with imputed GWAS data from 3,548 cases and 5,972 controls recruited from the ischemic stroke WTCCC2 study, and with summary statistics from a further 8,480 cases and 56,032 controls in the METASTROKE consortium. A final in silico "look-up" of 2 single nucleotide polymorphisms in 2,522 cases and 1,899 controls was performed. Associations were also examined in 1,088 cases with intracerebral hemorrhage and 1,102 controls.

RESULTS: In an overall analysis of 17,970 cases of ischemic stroke and 70,764 controls, we identified a novel association on chromosome 12q24 (rs10744777, odds ratio [OR] 1.10 [1.07-1.13], p = 7.12 {\texttimes} 10(-11)) with ischemic stroke. The association was with all ischemic stroke rather than an individual stroke subtype, with similar effect sizes seen in different stroke subtypes. There was no association with intracerebral hemorrhage (OR 1.03 [0.90-1.17], p = 0.695).

CONCLUSION: Our results show, for the first time, a genetic risk locus associated with ischemic stroke as a whole, rather than in a subtype-specific manner. This finding was not associated with intracerebral hemorrhage.

}, keywords = {Brain Ischemia, Cerebral Hemorrhage, Chromosomes, Human, Pair 12, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Risk, Stroke}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000000707}, author = {Kilarski, Laura L and Achterberg, Sefanja and Devan, William J and Traylor, Matthew and Malik, Rainer and Lindgren, Arne and Pare, Guillame and Sharma, Pankaj and Slowik, Agniesczka and Thijs, Vincent and Walters, Matthew and Worrall, Bradford B and Sale, Mich{\`e}le M and Algra, Ale and Kappelle, L Jaap and Wijmenga, Cisca and Norrving, Bo and Sandling, Johanna K and R{\"o}nnblom, Lars and Goris, An and Franke, Andre and Sudlow, Cathie and Rothwell, Peter M and Levi, Christopher and Holliday, Elizabeth G and Fornage, Myriam and Psaty, Bruce and Gretarsdottir, Solveig and Thorsteinsdottir, Unnar and Seshadri, Sudha and Mitchell, Braxton D and Kittner, Steven and Clarke, Robert and Hopewell, Jemma C and Bis, Joshua C and Boncoraglio, Giorgio B and Meschia, James and Ikram, M Arfan and Hansen, Bjorn M and Montaner, Joan and Thorleifsson, Gudmar and Stefanson, Kari and Rosand, Jonathan and de Bakker, Paul I W and Farrall, Martin and Dichgans, Martin and Markus, Hugh S and Bevan, Steve} } @article {6585, title = {Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.}, journal = {PLoS Genet}, volume = {10}, year = {2014}, month = {2014 Aug}, pages = {e1004517}, abstract = {

Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 {\texttimes} 10(-94)}, keywords = {African Americans, Diabetes Mellitus, Type 2, Genome-Wide Association Study, HLA-B27 Antigen, HMGA2 Protein, Humans, KCNQ1 Potassium Channel, Mutant Chimeric Proteins, Polymorphism, Single Nucleotide, Transcription Factor 7-Like 2 Protein}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1004517}, author = {Ng, Maggie C Y and Shriner, Daniel and Chen, Brian H and Li, Jiang and Chen, Wei-Min and Guo, Xiuqing and Liu, Jiankang and Bielinski, Suzette J and Yanek, Lisa R and Nalls, Michael A and Comeau, Mary E and Rasmussen-Torvik, Laura J and Jensen, Richard A and Evans, Daniel S and Sun, Yan V and An, Ping and Patel, Sanjay R and Lu, Yingchang and Long, Jirong and Armstrong, Loren L and Wagenknecht, Lynne and Yang, Lingyao and Snively, Beverly M and Palmer, Nicholette D and Mudgal, Poorva and Langefeld, Carl D and Keene, Keith L and Freedman, Barry I and Mychaleckyj, Josyf C and Nayak, Uma and Raffel, Leslie J and Goodarzi, Mark O and Chen, Y-D Ida and Taylor, Herman A and Correa, Adolfo and Sims, Mario and Couper, David and Pankow, James S and Boerwinkle, Eric and Adeyemo, Adebowale and Doumatey, Ayo and Chen, Guanjie and Mathias, Rasika A and Vaidya, Dhananjay and Singleton, Andrew B and Zonderman, Alan B and Igo, Robert P and Sedor, John R and Kabagambe, Edmond K and Siscovick, David S and McKnight, Barbara and Rice, Kenneth and Liu, Yongmei and Hsueh, Wen-Chi and Zhao, Wei and Bielak, Lawrence F and Kraja, Aldi and Province, Michael A and Bottinger, Erwin P and Gottesman, Omri and Cai, Qiuyin and Zheng, Wei and Blot, William J and Lowe, William L and Pacheco, Jennifer A and Crawford, Dana C and Grundberg, Elin and Rich, Stephen S and Hayes, M Geoffrey and Shu, Xiao-Ou and Loos, Ruth J F and Borecki, Ingrid B and Peyser, Patricia A and Cummings, Steven R and Psaty, Bruce M and Fornage, Myriam and Iyengar, Sudha K and Evans, Michele K and Becker, Diane M and Kao, W H Linda and Wilson, James G and Rotter, Jerome I and Sale, Mich{\`e}le M and Liu, Simin and Rotimi, Charles N and Bowden, Donald W} } @article {6297, title = {Multilocus genetic risk score associates with ischemic stroke in case-control and prospective cohort studies.}, journal = {Stroke}, volume = {45}, year = {2014}, month = {2014 Feb}, pages = {394-402}, abstract = {

BACKGROUND AND PURPOSE: Genome-wide association studies have revealed multiple common variants associated with known risk factors for ischemic stroke (IS). However, their aggregate effect on risk is uncertain. We aimed to generate a multilocus genetic risk score (GRS) for IS based on genome-wide association studies data from clinical-based samples and to establish its external validity in prospective population-based cohorts.

METHODS: Three thousand five hundred forty-eight clinic-based IS cases and 6399 controls from the Wellcome Trust Case Control Consortium 2 were used for derivation of the GRS. Subjects from the METASTROKE consortium served as a replication sample. The validation sample consisted of 22 751 participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. We selected variants that had reached genome-wide significance in previous association studies on established risk factors for IS.

RESULTS: A combined GRS for atrial fibrillation, coronary artery disease, hypertension, and systolic blood pressure significantly associated with IS both in the case-control samples and in the prospective population-based studies. Subjects in the top quintile of the combined GRS had >2-fold increased risk of IS compared with subjects in the lowest quintile. Addition of the combined GRS to a simple model based on sex significantly improved the prediction of IS in the combined clinic-based samples but not in the population-based studies, and there was no significant improvement in net reclassification.

CONCLUSIONS: A multilocus GRS based on common variants for established cardiovascular risk factors was significantly associated with IS both in clinic-based samples and in the general population. However, the improvement in clinical risk prediction was found to be small.

}, keywords = {Adult, Aged, Aged, 80 and over, Atrial Fibrillation, Blood Pressure, Brain Ischemia, Case-Control Studies, Cohort Studies, Coronary Artery Disease, Female, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Hypertension, Male, Middle Aged, Multilocus Sequence Typing, Polymorphism, Single Nucleotide, Population, Prospective Studies, Reproducibility of Results, Risk Assessment, Risk Factors, Sex Factors, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.113.002938}, author = {Malik, Rainer and Bevan, Steve and Nalls, Michael A and Holliday, Elizabeth G and Devan, William J and Cheng, Yu-Ching and Ibrahim-Verbaas, Carla A and Verhaaren, Benjamin F J and Bis, Joshua C and Joon, Aron Y and de Stefano, Anita L and Fornage, Myriam and Psaty, Bruce M and Ikram, M Arfan and Launer, Lenore J and van Duijn, Cornelia M and Sharma, Pankaj and Mitchell, Braxton D and Rosand, Jonathan and Meschia, James F and Levi, Christopher and Rothwell, Peter M and Sudlow, Cathie and Markus, Hugh S and Seshadri, Sudha and Dichgans, Martin} } @article {6667, title = {No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e111156}, abstract = {

Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2 {\texttimes} 10(-8). This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.

}, keywords = {Alcohol Drinking, Body Mass Index, Fibrinogen, Gene-Environment Interaction, Genomics, Humans, Smoking}, issn = {1932-6203}, doi = {10.1371/journal.pone.0111156}, author = {Baumert, Jens and Huang, Jie and McKnight, Barbara and Sabater-Lleal, Maria and Steri, Maristella and Chu, Audrey Y and Trompet, Stella and Lopez, Lorna M and Fornage, Myriam and Teumer, Alexander and Tang, Weihong and Rudnicka, Alicja R and M{\"a}larstig, Anders and Hottenga, Jouke-Jan and Kavousi, Maryam and Lahti, Jari and Tanaka, Toshiko and Hayward, Caroline and Huffman, Jennifer E and Morange, Pierre-Emmanuel and Rose, Lynda M and Basu, Saonli and Rumley, Ann and Stott, David J and Buckley, Brendan M and de Craen, Anton J M and Sanna, Serena and Masala, Marco and Biffar, Reiner and Homuth, Georg and Silveira, Angela and Sennblad, Bengt and Goel, Anuj and Watkins, Hugh and M{\"u}ller-Nurasyid, Martina and R{\"u}ckerl, Regina and Taylor, Kent and Chen, Ming-Huei and de Geus, Eco J C and Hofman, Albert and Witteman, Jacqueline C M and de Maat, Moniek P M and Palotie, Aarno and Davies, Gail and Siscovick, David S and Kolcic, Ivana and Wild, Sarah H and Song, Jaejoon and McArdle, Wendy L and Ford, Ian and Sattar, Naveed and Schlessinger, David and Grotevendt, Anne and Franzosi, Maria Grazia and Illig, Thomas and Waldenberger, Melanie and Lumley, Thomas and Tofler, Geoffrey H and Willemsen, Gonneke and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and R{\"a}ikk{\"o}nen, Katri and Chasman, Daniel I and Folsom, Aaron R and Lowe, Gordon D and Westendorp, Rudi G J and Slagboom, P Eline and Cucca, Francesco and Wallaschofski, Henri and Strawbridge, Rona J and Seedorf, Udo and Koenig, Wolfgang and Bis, Joshua C and Mukamal, Kenneth J and van Dongen, Jenny and Widen, Elisabeth and Franco, Oscar H and Starr, John M and Liu, Kiang and Ferrucci, Luigi and Polasek, Ozren and Wilson, James F and Oudot-Mellakh, Tiphaine and Campbell, Harry and Navarro, Pau and Bandinelli, Stefania and Eriksson, Johan and Boomsma, Dorret I and Dehghan, Abbas and Clarke, Robert and Hamsten, Anders and Boerwinkle, Eric and Jukema, J Wouter and Naitza, Silvia and Ridker, Paul M and V{\"o}lzke, Henry and Deary, Ian J and Reiner, Alexander P and Tr{\'e}gou{\"e}t, David-Alexandre and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Peters, Annette and Smith, Nicholas L} } @article {6220, title = {Predicting stroke through genetic risk functions: the CHARGE Risk Score Project.}, journal = {Stroke}, volume = {45}, year = {2014}, month = {2014 Feb}, pages = {403-12}, abstract = {

BACKGROUND AND PURPOSE: Beyond the Framingham Stroke Risk Score, prediction of future stroke may improve with a genetic risk score (GRS) based on single-nucleotide polymorphisms associated with stroke and its risk factors.

METHODS: The study includes 4 population-based cohorts with 2047 first incident strokes from 22,720 initially stroke-free European origin participants aged >=55 years, who were followed for up to 20 years. GRSs were constructed with 324 single-nucleotide polymorphisms implicated in stroke and 9 risk factors. The association of the GRS to first incident stroke was tested using Cox regression; the GRS predictive properties were assessed with area under the curve statistics comparing the GRS with age and sex, Framingham Stroke Risk Score models, and reclassification statistics. These analyses were performed per cohort and in a meta-analysis of pooled data. Replication was sought in a case-control study of ischemic stroke.

RESULTS: In the meta-analysis, adding the GRS to the Framingham Stroke Risk Score, age and sex model resulted in a significant improvement in discrimination (all stroke: Δjoint area under the curve=0.016, P=2.3{\texttimes}10(-6); ischemic stroke: Δjoint area under the curve=0.021, P=3.7{\texttimes}10(-7)), although the overall area under the curve remained low. In all the studies, there was a highly significantly improved net reclassification index (P<10(-4)).

CONCLUSIONS: The single-nucleotide polymorphisms associated with stroke and its risk factors result only in a small improvement in prediction of future stroke compared with the classical epidemiological risk factors for stroke.

}, keywords = {Age Factors, Aged, Aged, 80 and over, Area Under Curve, Case-Control Studies, Cohort Studies, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Regression Analysis, Risk Factors, ROC Curve, Sex Factors, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.113.003044}, author = {Ibrahim-Verbaas, Carla A and Fornage, Myriam and Bis, Joshua C and Choi, Seung Hoan and Psaty, Bruce M and Meigs, James B and Rao, Madhu and Nalls, Mike and Fontes, Jo{\~a}o D and O{\textquoteright}Donnell, Christopher J and Kathiresan, Sekar and Ehret, Georg B and Fox, Caroline S and Malik, Rainer and Dichgans, Martin and Schmidt, Helena and Lahti, Jari and Heckbert, Susan R and Lumley, Thomas and Rice, Kenneth and Rotter, Jerome I and Taylor, Kent D and Folsom, Aaron R and Boerwinkle, Eric and Rosamond, Wayne D and Shahar, Eyal and Gottesman, Rebecca F and Koudstaal, Peter J and Amin, Najaf and Wieberdink, Renske G and Dehghan, Abbas and Hofman, Albert and Uitterlinden, Andr{\'e} G and DeStefano, Anita L and Debette, Stephanie and Xue, Luting and Beiser, Alexa and Wolf, Philip A and DeCarli, Charles and Ikram, M Arfan and Seshadri, Sudha and Mosley, Thomas H and Longstreth, W T and van Duijn, Cornelia M and Launer, Lenore J} } @article {6370, title = {Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.}, journal = {Stroke}, volume = {45}, year = {2014}, month = {2014 Jan}, pages = {24-36}, abstract = {

BACKGROUND AND PURPOSE: Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each has a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases.

METHODS: Genome-wide association data were obtained from the METASTROKE, Coronary Artery Disease Genome-wide Replication and Meta-analysis (CARDIoGRAM), and Coronary Artery Disease (C4D) Genetics consortia. We first analyzed common variants reaching a nominal threshold of significance (P<0.01) for CAD for their association with IS and vice versa. We then examined specific overlap across phenotypes for variants that reached a high threshold of significance. Finally, we conducted a joint meta-analysis on the combined phenotype of IS or CAD. Corresponding analyses were performed restricted to the 2167 individuals with the ischemic large artery stroke (LAS) subtype.

RESULTS: Common variants associated with CAD at P<0.01 were associated with a significant excess risk for IS and for LAS and vice versa. Among the 42 known genome-wide significant loci for CAD, 3 and 5 loci were significantly associated with IS and LAS, respectively. In the joint meta-analyses, 15 loci passed genome-wide significance (P<5{\texttimes}10(-8)) for the combined phenotype of IS or CAD and 17 loci passed genome-wide significance for LAS or CAD. Because these loci had prior evidence for genome-wide significance for CAD, we specifically analyzed the respective signals for IS and LAS and found evidence for association at chr12q24/SH2B3 (PIS=1.62{\texttimes}10(-7)) and ABO (PIS=2.6{\texttimes}10(-4)), as well as at HDAC9 (PLAS=2.32{\texttimes}10(-12)), 9p21 (PLAS=3.70{\texttimes}10(-6)), RAI1-PEMT-RASD1 (PLAS=2.69{\texttimes}10(-5)), EDNRA (PLAS=7.29{\texttimes}10(-4)), and CYP17A1-CNNM2-NT5C2 (PLAS=4.9{\texttimes}10(-4)).

CONCLUSIONS: Our results demonstrate substantial overlap in the genetic risk of IS and particularly the LAS subtype with CAD.

}, keywords = {Brain Ischemia, Coronary Artery Disease, Data Interpretation, Statistical, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Phenotype, Polymorphism, Single Nucleotide, Reproducibility of Results, Risk Factors, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.113.002707}, author = {Dichgans, Martin and Malik, Rainer and K{\"o}nig, Inke R and Rosand, Jonathan and Clarke, Robert and Gretarsdottir, Solveig and Thorleifsson, Gudmar and Mitchell, Braxton D and Assimes, Themistocles L and Levi, Christopher and O{\textquoteright}Donnell, Christopher J and Fornage, Myriam and Thorsteinsdottir, Unnur and Psaty, Bruce M and Hengstenberg, Christian and Seshadri, Sudha and Erdmann, Jeanette and Bis, Joshua C and Peters, Annette and Boncoraglio, Giorgio B and M{\"a}rz, Winfried and Meschia, James F and Kathiresan, Sekar and Ikram, M Arfan and McPherson, Ruth and Stefansson, Kari and Sudlow, Cathie and Reilly, Muredach P and Thompson, John R and Sharma, Pankaj and Hopewell, Jemma C and Chambers, John C and Watkins, Hugh and Rothwell, Peter M and Roberts, Robert and Markus, Hugh S and Samani, Nilesh J and Farrall, Martin and Schunkert, Heribert} } @article {6577, title = {Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol.}, journal = {Am J Hum Genet}, volume = {94}, year = {2014}, month = {2014 Feb 06}, pages = {233-45}, abstract = {

Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.

}, keywords = {Adult, Aged, Apolipoproteins E, Cholesterol, LDL, Cohort Studies, Dyslipidemias, Exome, Female, Follow-Up Studies, Gene Frequency, Genetic Code, Genome-Wide Association Study, Genotype, Humans, Lipase, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Proprotein Convertase 9, Proprotein Convertases, Receptors, LDL, Sequence Analysis, DNA, Serine Endopeptidases}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2014.01.010}, author = {Lange, Leslie A and Hu, Youna and Zhang, He and Xue, Chenyi and Schmidt, Ellen M and Tang, Zheng-Zheng and Bizon, Chris and Lange, Ethan M and Smith, Joshua D and Turner, Emily H and Jun, Goo and Kang, Hyun Min and Peloso, Gina and Auer, Paul and Li, Kuo-Ping and Flannick, Jason and Zhang, Ji and Fuchsberger, Christian and Gaulton, Kyle and Lindgren, Cecilia and Locke, Adam and Manning, Alisa and Sim, Xueling and Rivas, Manuel A and Holmen, Oddgeir L and Gottesman, Omri and Lu, Yingchang and Ruderfer, Douglas and Stahl, Eli A and Duan, Qing and Li, Yun and Durda, Peter and Jiao, Shuo and Isaacs, Aaron and Hofman, Albert and Bis, Joshua C and Correa, Adolfo and Griswold, Michael E and Jakobsdottir, Johanna and Smith, Albert V and Schreiner, Pamela J and Feitosa, Mary F and Zhang, Qunyuan and Huffman, Jennifer E and Crosby, Jacy and Wassel, Christina L and Do, Ron and Franceschini, Nora and Martin, Lisa W and Robinson, Jennifer G and Assimes, Themistocles L and Crosslin, David R and Rosenthal, Elisabeth A and Tsai, Michael and Rieder, Mark J and Farlow, Deborah N and Folsom, Aaron R and Lumley, Thomas and Fox, Ervin R and Carlson, Christopher S and Peters, Ulrike and Jackson, Rebecca D and van Duijn, Cornelia M and Uitterlinden, Andr{\'e} G and Levy, Daniel and Rotter, Jerome I and Taylor, Herman A and Gudnason, Vilmundur and Siscovick, David S and Fornage, Myriam and Borecki, Ingrid B and Hayward, Caroline and Rudan, Igor and Chen, Y Eugene and Bottinger, Erwin P and Loos, Ruth J F and S{\ae}trom, P{\r a}l and Hveem, Kristian and Boehnke, Michael and Groop, Leif and McCarthy, Mark and Meitinger, Thomas and Ballantyne, Christie M and Gabriel, Stacey B and O{\textquoteright}Donnell, Christopher J and Post, Wendy S and North, Kari E and Reiner, Alexander P and Boerwinkle, Eric and Psaty, Bruce M and Altshuler, David and Kathiresan, Sekar and Lin, Dan-Yu and Jarvik, Gail P and Cupples, L Adrienne and Kooperberg, Charles and Wilson, James G and Nickerson, Deborah A and Abecasis, Goncalo R and Rich, Stephen S and Tracy, Russell P and Willer, Cristen J} } @article {6815, title = {Association of Alzheimer{\textquoteright}s disease GWAS loci with MRI markers of brain aging.}, journal = {Neurobiol Aging}, volume = {36}, year = {2015}, month = {2015 Apr}, pages = {1765.e7-16}, abstract = {

Whether novel risk variants of Alzheimer{\textquoteright}s disease (AD) identified through genome-wide association studies also influence magnetic resonance imaging-based intermediate phenotypes of AD in the general population is unclear. We studied association of 24 AD risk loci with intracranial volume, total brain volume, hippocampal volume (HV), white matter hyperintensity burden, and brain infarcts in a meta-analysis of genetic association studies from large population-based samples (N = 8175-11,550). In single-SNP based tests, AD risk allele of APOE (rs2075650) was associated with smaller HV (p = 0.0054) and CD33 (rs3865444) with smaller intracranial volume (p = 0.0058). In gene-based tests, there was associations of HLA-DRB1 with total brain volume (p = 0.0006) and BIN1 with HV (p = 0.00089). A weighted AD genetic risk score was associated with smaller HV (beta {\textpm} SE = -0.047 {\textpm} 0.013, p = 0.00041), even after excluding the APOE locus (p = 0.029). However, only association of AD genetic risk score with HV, including APOE, was significant after multiple testing correction (including number of independent phenotypes tested). These results suggest that novel AD genetic risk variants may contribute to structural brain aging in nondemented older community persons.

}, keywords = {Aging, Alleles, Alzheimer Disease, Apolipoproteins E, Brain, Female, Genome-Wide Association Study, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Organ Size, Polymorphism, Single Nucleotide, Risk, Sialic Acid Binding Ig-like Lectin 3}, issn = {1558-1497}, doi = {10.1016/j.neurobiolaging.2014.12.028}, author = {Chauhan, Ganesh and Adams, Hieab H H and Bis, Joshua C and Weinstein, Galit and Yu, Lei and T{\"o}glhofer, Anna Maria and Smith, Albert Vernon and van der Lee, Sven J and Gottesman, Rebecca F and Thomson, Russell and Wang, Jing and Yang, Qiong and Niessen, Wiro J and Lopez, Oscar L and Becker, James T and Phan, Thanh G and Beare, Richard J and Arfanakis, Konstantinos and Fleischman, Debra and Vernooij, Meike W and Mazoyer, Bernard and Schmidt, Helena and Srikanth, Velandai and Knopman, David S and Jack, Clifford R and Amouyel, Philippe and Hofman, Albert and DeCarli, Charles and Tzourio, Christophe and van Duijn, Cornelia M and Bennett, David A and Schmidt, Reinhold and Longstreth, William T and Mosley, Thomas H and Fornage, Myriam and Launer, Lenore J and Seshadri, Sudha and Ikram, M Arfan and Debette, Stephanie} } @article {6597, title = {Association of exome sequences with plasma C-reactive protein levels in >9000 participants.}, journal = {Hum Mol Genet}, volume = {24}, year = {2015}, month = {2015 Jan 15}, pages = {559-71}, abstract = {

C-reactive protein (CRP) concentration is a heritable systemic marker of inflammation that is associated with cardiovascular disease risk. Genome-wide association studies have identified CRP-associated common variants associated in \~{}25 genes. Our aims were to apply exome sequencing to (1) assess whether the candidate loci contain rare coding variants associated with CRP levels and (2) perform an exome-wide search for rare variants in novel genes associated with CRP levels. We exome-sequenced 6050 European-Americans (EAs) and 3109 African-Americans (AAs) from the NHLBI-ESP and the CHARGE consortia, and performed association tests of sequence data with measured CRP levels. In single-variant tests across candidate loci, a novel rare (minor allele frequency = 0.16\%) CRP-coding variant (rs77832441-A; p.Thr59Met) was associated with 53\% lower mean CRP levels (P = 2.9 {\texttimes} 10(-6)). We replicated the association of rs77832441 in an exome array analysis of 11 414 EAs (P = 3.0 {\texttimes} 10(-15)). Despite a strong effect on CRP levels, rs77832441 was not associated with inflammation-related phenotypes including coronary heart disease. We also found evidence for an AA-specific association of APOE-ε2 rs7214 with higher CRP levels. At the exome-wide significance level (P < 5.0 {\texttimes} 10(-8)), we confirmed associations for reported common variants of HNF1A, CRP, IL6R and TOMM40-APOE. In gene-based tests, a burden of rare/lower frequency variation in CRP in EAs (P <= 6.8 {\texttimes} 10(-4)) and in retinoic acid receptor-related orphan receptor α (RORA) in AAs (P = 1.7 {\texttimes} 10(-3)) were associated with CRP levels at the candidate gene level (P < 2.0 {\texttimes} 10(-3)). This inquiry did not elucidate novel genes, but instead demonstrated that variants distributed across the allele frequency spectrum within candidate genes contribute to CRP levels.

}, keywords = {Adult, African Americans, C-Reactive Protein, Cardiovascular Diseases, Cohort Studies, European Continental Ancestry Group, Exome, Female, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Hepatocyte Nuclear Factor 1-alpha, Humans, Male, Plasma, Polymorphism, Single Nucleotide, Receptors, Interleukin-6, Risk Factors}, issn = {1460-2083}, doi = {10.1093/hmg/ddu450}, author = {Schick, Ursula M and Auer, Paul L and Bis, Joshua C and Lin, Honghuang and Wei, Peng and Pankratz, Nathan and Lange, Leslie A and Brody, Jennifer and Stitziel, Nathan O and Kim, Daniel S and Carlson, Christopher S and Fornage, Myriam and Haessler, Jeffery and Hsu, Li and Jackson, Rebecca D and Kooperberg, Charles and Leal, Suzanne M and Psaty, Bruce M and Boerwinkle, Eric and Tracy, Russell and Ardissino, Diego and Shah, Svati and Willer, Cristen and Loos, Ruth and Melander, Olle and McPherson, Ruth and Hovingh, Kees and Reilly, Muredach and Watkins, Hugh and Girelli, Domenico and Fontanillas, Pierre and Chasman, Daniel I and Gabriel, Stacey B and Gibbs, Richard and Nickerson, Deborah A and Kathiresan, Sekar and Peters, Ulrike and Dupuis, Jos{\'e}e and Wilson, James G and Rich, Stephen S and Morrison, Alanna C and Benjamin, Emelia J and Gross, Myron D and Reiner, Alex P} } @article {6864, title = {Common variation in COL4A1/COL4A2 is associated with sporadic cerebral small vessel disease.}, journal = {Neurology}, volume = {84}, year = {2015}, month = {2015 Mar 3}, pages = {918-26}, abstract = {

OBJECTIVES: We hypothesized that common variants in the collagen genes COL4A1/COL4A2 are associated with sporadic forms of cerebral small vessel disease.

METHODS: We conducted meta-analyses of existing genotype data among individuals of European ancestry to determine associations of 1,070 common single nucleotide polymorphisms (SNPs) in the COL4A1/COL4A2 genomic region with the following: intracerebral hemorrhage and its subtypes (deep, lobar) (1,545 cases, 1,485 controls); ischemic stroke and its subtypes (cardioembolic, large vessel disease, lacunar) (12,389 cases, 62,004 controls); and white matter hyperintensities (2,733 individuals with ischemic stroke and 9,361 from population-based cohorts with brain MRI data). We calculated a statistical significance threshold that accounted for multiple testing and linkage disequilibrium between SNPs (p < 0.000084).

RESULTS: Three intronic SNPs in COL4A2 were significantly associated with deep intracerebral hemorrhage (lead SNP odds ratio [OR] 1.29, 95\% confidence interval [CI] 1.14-1.46, p = 0.00003; r(2) > 0.9 between SNPs). Although SNPs associated with deep intracerebral hemorrhage did not reach our significance threshold for association with lacunar ischemic stroke (lead SNP OR 1.10, 95\% CI 1.03-1.18, p = 0.0073), and with white matter hyperintensity volume in symptomatic ischemic stroke patients (lead SNP OR 1.07, 95\% CI 1.01-1.13, p = 0.016), the direction of association was the same. There was no convincing evidence of association with white matter hyperintensities in population-based studies or with non-small vessel disease cerebrovascular phenotypes.

CONCLUSIONS: Our results indicate an association between common variation in the COL4A2 gene and symptomatic small vessel disease, particularly deep intracerebral hemorrhage. These findings merit replication studies, including in ethnic groups of non-European ancestry.

}, keywords = {Cerebral Small Vessel Diseases, Collagen Type IV, Genetic Association Studies, Genetic Variation, Humans, Polymorphism, Single Nucleotide}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000001309}, author = {Rannikmae, Kristiina and Davies, Gail and Thomson, Pippa A and Bevan, Steve and Devan, William J and Falcone, Guido J and Traylor, Matthew and Anderson, Christopher D and Battey, Thomas W K and Radmanesh, Farid and Deka, Ranjan and Woo, Jessica G and Martin, Lisa J and Jimenez-Conde, Jordi and Selim, Magdy and Brown, Devin L and Silliman, Scott L and Kidwell, Chelsea S and Montaner, Joan and Langefeld, Carl D and Slowik, Agnieszka and Hansen, Bjorn M and Lindgren, Arne G and Meschia, James F and Fornage, Myriam and Bis, Joshua C and Debette, Stephanie and Ikram, Mohammad A and Longstreth, Will T and Schmidt, Reinhold and Zhang, Cathy R and Yang, Qiong and Sharma, Pankaj and Kittner, Steven J and Mitchell, Braxton D and Holliday, Elizabeth G and Levi, Christopher R and Attia, John and Rothwell, Peter M and Poole, Deborah L and Boncoraglio, Giorgio B and Psaty, Bruce M and Malik, Rainer and Rost, Natalia and Worrall, Bradford B and Dichgans, Martin and Van Agtmael, Tom and Woo, Daniel and Markus, Hugh S and Seshadri, Sudha and Rosand, Jonathan and Sudlow, Cathie L M} } @article {6687, title = {Dietary fatty acids modulate associations between genetic variants and circulating fatty acids in plasma and erythrocyte membranes: Meta-analysis of nine studies in the CHARGE consortium.}, journal = {Mol Nutr Food Res}, volume = {59}, year = {2015}, month = {2015 Jul}, pages = {1373-83}, abstract = {

SCOPE: Tissue concentrations of omega-3 fatty acids may reduce cardiovascular disease risk, and genetic variants are associated with circulating fatty acids concentrations. Whether dietary fatty acids interact with genetic variants to modify circulating omega-3 fatty acids is unclear. We evaluated interactions between genetic variants and fatty acid intakes for circulating alpha-linoleic acid, eicosapentaenoic acid, docosahexaenoic acid, and docosapentaenoic acid.

METHODS AND RESULTS: We conducted meta-analyses (N = 11~668) evaluating interactions between dietary fatty acids and genetic variants (rs174538 and rs174548 in FADS1 (fatty acid desaturase 1), rs7435 in AGPAT3 (1-acyl-sn-glycerol-3-phosphate), rs4985167 in PDXDC1 (pyridoxal-dependent decarboxylase domain-containing 1), rs780094 in GCKR (glucokinase regulatory protein), and rs3734398 in ELOVL2 (fatty acid elongase 2)). Stratification by measurement compartment (plasma versus erthyrocyte) revealed compartment-specific interactions between FADS1 rs174538 and rs174548 and dietary alpha-linolenic acid and linoleic acid for docosahexaenoic acid and docosapentaenoic acid.

CONCLUSION: Our findings reinforce earlier reports that genetically based differences in circulating fatty acids may be partially due to differences in the conversion of fatty acid precursors. Further, fatty acids measurement compartment may modify gene-diet relationships, and considering compartment may improve the detection of gene-fatty acids interactions for circulating fatty acid outcomes.

}, keywords = {Acetyltransferases, Acyltransferases, Adaptor Proteins, Signal Transducing, Carboxy-Lyases, Diet, Docosahexaenoic Acids, Eicosapentaenoic Acid, Erythrocyte Membrane, Fatty Acid Desaturases, Fatty Acids, Fatty Acids, Omega-3, Female, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1613-4133}, doi = {10.1002/mnfr.201400734}, author = {Smith, Caren E and Follis, Jack L and Nettleton, Jennifer A and Foy, Millennia and Wu, Jason H Y and Ma, Yiyi and Tanaka, Toshiko and Manichakul, Ani W and Wu, Hongyu and Chu, Audrey Y and Steffen, Lyn M and Fornage, Myriam and Mozaffarian, Dariush and Kabagambe, Edmond K and Ferruci, Luigi and Chen, Yii-Der Ida and Rich, Stephen S and Djouss{\'e}, Luc and Ridker, Paul M and Tang, Weihong and McKnight, Barbara and Tsai, Michael Y and Bandinelli, Stefania and Rotter, Jerome I and Hu, Frank B and Chasman, Daniel I and Psaty, Bruce M and Arnett, Donna K and King, Irena B and Sun, Qi and Wang, Lu and Lumley, Thomas and Chiuve, Stephanie E and Siscovick, David S and Ordovas, Jose M and Lemaitre, Rozenn N} } @article {6818, title = {Genes from a translational analysis support a multifactorial nature of white matter hyperintensities.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Feb}, pages = {341-7}, abstract = {

BACKGROUND AND PURPOSE: White matter hyperintensities (WMH) of presumed vascular origin increase the risk of stroke and dementia. Despite strong WMH heritability, few gene associations have been identified. Relevant experimental models may be informative.

METHODS: We tested the associations between genes that were differentially expressed in brains of young spontaneously hypertensive stroke-prone rats and human WMH (using volume and visual score) in 621 subjects from the Lothian Birth Cohort 1936 (LBC1936). We then attempted replication in 9361 subjects from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE). We also tested the subjects from LBC1936 for previous genome-wide WMH associations found in subjects from CHARGE.

RESULTS: Of 126 spontaneously hypertensive stroke-prone rat genes, 10 were nominally associated with WMH volume or score in subjects from LBC1936, of which 5 (AFP, ALB, GNAI1, RBM8a, and MRPL18) were associated with both WMH volume and score (P<0.05); 2 of the 10 (XPNPEP1, P=6.7{\texttimes}10(-5); FARP1, P=0.024) plus another spontaneously hypertensive stroke-prone rat gene (USMG5, P=0.00014), on chromosomes 10, 13, and 10 respectively, were associated with WMH in subjects from CHARGE. Gene set enrichment showed significant associations for downregulated spontaneously hypertensive stroke-prone rat genes with WMH in humans. In subjects from LBC1936, we replicated CHARGE{\textquoteright}s genome-wide WMH associations on chromosomes 17 (TRIM65 and TRIM47) and, for the first time, 1 (PMF1).

CONCLUSIONS: Despite not passing multiple testing thresholds individually, these genes collectively are relevant to known WMH associations, proposed WMH mechanisms, or dementia: associations with Alzheimer{\textquoteright}s disease, late-life depression, ATP production, osmotic regulation, neurodevelopmental abnormalities, and cognitive impairment. If replicated further, they suggest a multifactorial nature for WMH and argue for more consideration of vascular contributions to dementia.

}, keywords = {Aged, Alzheimer Disease, Animals, Brain, Causality, Dementia, Female, Genome-Wide Association Study, Humans, Leukoencephalopathies, Male, Polymorphism, Single Nucleotide, Rats, Rats, Inbred SHR, Rats, Wistar, Risk Factors, Translational Medical Research, White Matter}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.114.007649}, author = {Lopez, Lorna M and Hill, W David and Harris, Sarah E and Valdes Hernandez, Maria and Munoz Maniega, Susana and Bastin, Mark E and Bailey, Emma and Smith, Colin and McBride, Martin and McClure, John and Graham, Delyth and Dominiczak, Anna and Yang, Qiong and Fornage, Myriam and Ikram, M Arfan and Debette, Stephanie and Launer, Lenore and Bis, Joshua C and Schmidt, Reinhold and Seshadri, Sudha and Porteous, David J and Starr, John and Deary, Ian J and Wardlaw, Joanna M} } @article {6615, title = {Genetic loci associated with circulating levels of very long-chain saturated fatty acids.}, journal = {J Lipid Res}, volume = {56}, year = {2015}, month = {2015 Jan}, pages = {176-84}, abstract = {

Very long-chain saturated fatty acids (VLSFAs) are saturated fatty acids with 20 or more carbons. In contrast to the more abundant saturated fatty acids, such as palmitic acid, there is growing evidence that circulating VLSFAs may have beneficial biological properties. Whether genetic factors influence circulating levels of VLSFAs is not known. We investigated the association of common genetic variation with plasma phospholipid/erythrocyte levels of three VLSFAs by performing genome-wide association studies in seven population-based cohorts comprising 10,129 subjects of European ancestry. We observed associations of circulating VLSFA concentrations with common variants in two genes, serine palmitoyl-transferase long-chain base subunit 3 (SPTLC3), a gene involved in the rate-limiting step of de novo sphingolipid synthesis, and ceramide synthase 4 (CERS4). The SPTLC3 variant at rs680379 was associated with higher arachidic acid (20:0 , P = 5.81 {\texttimes} 10(-13)). The CERS4 variant at rs2100944 was associated with higher levels of 20:0 (P = 2.65 {\texttimes} 10(-40)) and in analyses that adjusted for 20:0, with lower levels of behenic acid (P = 4.22 {\texttimes} 10(-26)) and lignoceric acid (P = 3.20 {\texttimes} 10(-21)). These novel associations suggest an inter-relationship of circulating VLSFAs and sphingolipid synthesis.

}, keywords = {Cohort Studies, Fatty Acids, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans}, issn = {1539-7262}, doi = {10.1194/jlr.M052456}, author = {Lemaitre, Rozenn N and King, Irena B and Kabagambe, Edmond K and Wu, Jason H Y and McKnight, Barbara and Manichaikul, Ani and Guan, Weihua and Sun, Qi and Chasman, Daniel I and Foy, Millennia and Wang, Lu and Zhu, Jingwen and Siscovick, David S and Tsai, Michael Y and Arnett, Donna K and Psaty, Bruce M and Djouss{\'e}, Luc and Chen, Yii-der I and Tang, Weihong and Weng, Lu-Chen and Wu, Hongyu and Jensen, Majken K and Chu, Audrey Y and Jacobs, David R and Rich, Stephen S and Mozaffarian, Dariush and Steffen, Lyn and Rimm, Eric B and Hu, Frank B and Ridker, Paul M and Fornage, Myriam and Friedlander, Yechiel} } @article {6685, title = {Genetic loci associated with circulating phospholipid trans fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium.}, journal = {Am J Clin Nutr}, volume = {101}, year = {2015}, month = {2015 Feb}, pages = {398-406}, abstract = {

BACKGROUND: Circulating trans fatty acids (TFAs), which cannot be synthesized by humans, are linked to adverse health outcomes. Although TFAs are obtained from diet, little is known about subsequent influences (e.g., relating to incorporation, metabolism, or intercompetition with other fatty acids) that could alter circulating concentrations and possibly modulate or mediate impacts on health.

OBJECTIVE: The objective was to elucidate novel biologic pathways that may influence circulating TFAs by evaluating associations between common genetic variation and TFA biomarkers.

DESIGN: We performed meta-analyses using 7 cohorts of European-ancestry participants (n = 8013) having measured genome-wide variation in single-nucleotide polymorphisms (SNPs) and circulating TFA biomarkers (erythrocyte or plasma phospholipids), including trans-16:1n-7, total trans-18:1, trans/cis-18:2, cis/trans-18:2, and trans/trans-18:2. We further evaluated SNPs with genome-wide significant associations among African Americans (n = 1082), Chinese Americans (n = 669), and Hispanic Americans (n = 657) from 2 of these cohorts.

RESULTS: Among European-ancestry participants, 31 SNPs in or near the fatty acid desaturase (FADS) 1 and 2 cluster were associated with cis/trans-18:2; a top hit was rs174548 (β = 0.0035, P = 4.90 {\texttimes} 10(-15)), an SNP previously associated with circulating n-3 and n-6 polyunsaturated fatty acid concentrations. No significant association was identified for other TFAs. rs174548 in FADS1/2 was also associated with cis/trans-18:2 in Hispanic Americans (β = 0.0053, P = 1.05 {\texttimes} 10(-6)) and Chinese Americans (β = 0.0028, P = 0.002) but not African Americans (β = 0.0009, P = 0.34); however, in African Americans, fine mapping identified a top hit in FADS2 associated with cis/trans-18:2 (rs174579: β = 0.0118, P = 4.05 {\texttimes} 10(-5)). The association between rs174548 and cis/trans-18:2 remained significant after further adjustment for individual circulating n-3 and n-6 fatty acids, except arachidonic acid. After adjustment for arachidonic acid concentrations, the association between rs174548 and cis/trans-18:2 was nearly eliminated in European-ancestry participants (β-coefficient reduced by 86\%), with similar reductions in Hispanic Americans and Chinese Americans.

CONCLUSIONS: Our findings provide novel evidence for genetic regulation of cis/trans-18:2 by the FADS1/2 cluster and suggest that this regulation may be influenced/mediated by concentrations of arachidonic acid, an n-6 polyunsaturated fat.

}, keywords = {African Americans, Arachidonic Acid, Asian Americans, Biomarkers, European Continental Ancestry Group, Fatty Acids, Omega-6, Gene Frequency, Genetic Association Studies, Genetic Loci, Genotyping Techniques, Humans, Phospholipids, Polymorphism, Single Nucleotide, Trans Fatty Acids}, issn = {1938-3207}, doi = {10.3945/ajcn.114.094557}, author = {Mozaffarian, Dariush and Kabagambe, Edmond K and Johnson, Catherine O and Lemaitre, Rozenn N and Manichaikul, Ani and Sun, Qi and Foy, Millennia and Wang, Lu and Wiener, Howard and Irvin, Marguerite R and Rich, Stephen S and Wu, Hongyu and Jensen, Majken K and Chasman, Daniel I and Chu, Audrey Y and Fornage, Myriam and Steffen, Lyn and King, Irena B and McKnight, Barbara and Psaty, Bruce M and Djouss{\'e}, Luc and Chen, Ida Y-D and Wu, Jason H Y and Siscovick, David S and Ridker, Paul M and Tsai, Michael Y and Rimm, Eric B and Hu, Frank B and Arnett, Donna K} } @article {6688, title = {Genetic overlap between diagnostic subtypes of ischemic stroke.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Mar}, pages = {615-9}, abstract = {

BACKGROUND AND PURPOSE: Despite moderate heritability, the phenotypic heterogeneity of ischemic stroke has hampered gene discovery, motivating analyses of diagnostic subtypes with reduced sample sizes. We assessed evidence for a shared genetic basis among the 3 major subtypes: large artery atherosclerosis (LAA), cardioembolism, and small vessel disease (SVD), to inform potential cross-subtype analyses.

METHODS: Analyses used genome-wide summary data for 12 389 ischemic stroke cases (including 2167 LAA, 2405 cardioembolism, and 1854 SVD) and 62 004 controls from the Metastroke consortium. For 4561 cases and 7094 controls, individual-level genotype data were also available. Genetic correlations between subtypes were estimated using linear mixed models and polygenic profile scores. Meta-analysis of a combined LAA-SVD phenotype (4021 cases and 51 976 controls) was performed to identify shared risk alleles.

RESULTS: High genetic correlation was identified between LAA and SVD using linear mixed models (rg=0.96, SE=0.47, P=9{\texttimes}10(-4)) and profile scores (rg=0.72; 95\% confidence interval, 0.52-0.93). Between LAA and cardioembolism and SVD and cardioembolism, correlation was moderate using linear mixed models but not significantly different from zero for profile scoring. Joint meta-analysis of LAA and SVD identified strong association (P=1{\texttimes}10(-7)) for single nucleotide polymorphisms near the opioid receptor μ1 (OPRM1) gene.

CONCLUSIONS: Our results suggest that LAA and SVD, which have been hitherto treated as genetically distinct, may share a substantial genetic component. Combined analyses of LAA and SVD may increase power to identify small-effect alleles influencing shared pathophysiological processes.

}, keywords = {Alleles, Atherosclerosis, Cerebral Small Vessel Diseases, Cohort Studies, Data Interpretation, Statistical, Embolism, Genome-Wide Association Study, Genotype, Humans, Ischemia, Linear Models, Meta-Analysis as Topic, Phenotype, Polymorphism, Single Nucleotide, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.114.007930}, author = {Holliday, Elizabeth G and Traylor, Matthew and Malik, Rainer and Bevan, Steve and Falcone, Guido and Hopewell, Jemma C and Cheng, Yu-Ching and Cotlarciuc, Ioana and Bis, Joshua C and Boerwinkle, Eric and Boncoraglio, Giorgio B and Clarke, Robert and Cole, John W and Fornage, Myriam and Furie, Karen L and Ikram, M Arfan and Jannes, Jim and Kittner, Steven J and Lincz, Lisa F and Maguire, Jane M and Meschia, James F and Mosley, Thomas H and Nalls, Mike A and Oldmeadow, Christopher and Parati, Eugenio A and Psaty, Bruce M and Rothwell, Peter M and Seshadri, Sudha and Scott, Rodney J and Sharma, Pankaj and Sudlow, Cathie and Wiggins, Kerri L and Worrall, Bradford B and Rosand, Jonathan and Mitchell, Braxton D and Dichgans, Martin and Markus, Hugh S and Levi, Christopher and Attia, John and Wray, Naomi R} } @article {6684, title = {Genome-wide studies of verbal declarative memory in nondemented older people: the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium.}, journal = {Biol Psychiatry}, volume = {77}, year = {2015}, month = {2015 Apr 15}, pages = {749-63}, abstract = {

BACKGROUND: Memory performance in older persons can reflect genetic influences on cognitive function and dementing processes. We aimed to identify genetic contributions to verbal declarative memory in a community setting.

METHODS: We conducted genome-wide association studies for paragraph or word list delayed recall in 19 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, comprising 29,076 dementia- and stroke-free individuals of European descent, aged >=45 years. Replication of suggestive associations (p < 5 {\texttimes} 10(-6)) was sought in 10,617 participants of European descent, 3811 African-Americans, and 1561 young adults.

RESULTS: rs4420638, near APOE, was associated with poorer delayed recall performance in discovery (p = 5.57 {\texttimes} 10(-10)) and replication cohorts (p = 5.65 {\texttimes} 10(-8)). This association was stronger for paragraph than word list delayed recall and in the oldest persons. Two associations with specific tests, in subsets of the total sample, reached genome-wide significance in combined analyses of discovery and replication (rs11074779 [HS3ST4], p = 3.11 {\texttimes} 10(-8), and rs6813517 [SPOCK3], p = 2.58 {\texttimes} 10(-8)) near genes involved in immune response. A genetic score combining 58 independent suggestive memory risk variants was associated with increasing Alzheimer disease pathology in 725 autopsy samples. Association of memory risk loci with gene expression in 138 human hippocampus samples showed cis-associations with WDR48 and CLDN5, both related to ubiquitin metabolism.

CONCLUSIONS: This largest study to date exploring the genetics of memory function in ~40,000 older individuals revealed genome-wide associations and suggested an involvement of immune and ubiquitin pathways.

}, keywords = {Aged, Aged, 80 and over, Aging, Apolipoproteins E, Claudin-5, Cohort Studies, Female, Genome-Wide Association Study, Genotype, Humans, Male, Memory Disorders, Middle Aged, Polymorphism, Single Nucleotide, Proteins, Proteoglycans, Regression Analysis, Sulfotransferases, Verbal Learning}, issn = {1873-2402}, doi = {10.1016/j.biopsych.2014.08.027}, author = {Debette, Stephanie and Ibrahim Verbaas, Carla A and Bressler, Jan and Schuur, Maaike and Smith, Albert and Bis, Joshua C and Davies, Gail and Wolf, Christiane and Gudnason, Vilmundur and Chibnik, Lori B and Yang, Qiong and DeStefano, Anita L and de Quervain, Dominique J F and Srikanth, Velandai and Lahti, Jari and Grabe, Hans J and Smith, Jennifer A and Priebe, Lutz and Yu, Lei and Karbalai, Nazanin and Hayward, Caroline and Wilson, James F and Campbell, Harry and Petrovic, Katja and Fornage, Myriam and Chauhan, Ganesh and Yeo, Robin and Boxall, Ruth and Becker, James and Stegle, Oliver and Mather, Karen A and Chouraki, Vincent and Sun, Qi and Rose, Lynda M and Resnick, Susan and Oldmeadow, Christopher and Kirin, Mirna and Wright, Alan F and Jonsdottir, Maria K and Au, Rhoda and Becker, Albert and Amin, Najaf and Nalls, Mike A and Turner, Stephen T and Kardia, Sharon L R and Oostra, Ben and Windham, Gwen and Coker, Laura H and Zhao, Wei and Knopman, David S and Heiss, Gerardo and Griswold, Michael E and Gottesman, Rebecca F and Vitart, Veronique and Hastie, Nicholas D and Zgaga, Lina and Rudan, Igor and Polasek, Ozren and Holliday, Elizabeth G and Schofield, Peter and Choi, Seung Hoan and Tanaka, Toshiko and An, Yang and Perry, Rodney T and Kennedy, Richard E and Sale, Mich{\`e}le M and Wang, Jing and Wadley, Virginia G and Liewald, David C and Ridker, Paul M and Gow, Alan J and Pattie, Alison and Starr, John M and Porteous, David and Liu, Xuan and Thomson, Russell and Armstrong, Nicola J and Eiriksdottir, Gudny and Assareh, Arezoo A and Kochan, Nicole A and Widen, Elisabeth and Palotie, Aarno and Hsieh, Yi-Chen and Eriksson, Johan G and Vogler, Christian and van Swieten, John C and Shulman, Joshua M and Beiser, Alexa and Rotter, Jerome and Schmidt, Carsten O and Hoffmann, Wolfgang and N{\"o}then, Markus M and Ferrucci, Luigi and Attia, John and Uitterlinden, Andr{\'e} G and Amouyel, Philippe and Dartigues, Jean-Fran{\c c}ois and Amieva, H{\'e}l{\`e}ne and R{\"a}ikk{\"o}nen, Katri and Garcia, Melissa and Wolf, Philip A and Hofman, Albert and Longstreth, W T and Psaty, Bruce M and Boerwinkle, Eric and DeJager, Philip L and Sachdev, Perminder S and Schmidt, Reinhold and Breteler, Monique M B and Teumer, Alexander and Lopez, Oscar L and Cichon, Sven and Chasman, Daniel I and Grodstein, Francine and M{\"u}ller-Myhsok, Bertram and Tzourio, Christophe and Papassotiropoulos, Andreas and Bennett, David A and Ikram, M Arfan and Deary, Ian J and van Duijn, Cornelia M and Launer, Lenore and Fitzpatrick, Annette L and Seshadri, Sudha and Mosley, Thomas H} } @article {6863, title = {HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials.}, journal = {Lancet}, volume = {385}, year = {2015}, month = {2015 Jan 24}, pages = {351-61}, abstract = {

BACKGROUND: Statins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target.

METHODS: We used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis.

FINDINGS: Data were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0{\textperiodcentered}06 mmol/L (95\% CI 0{\textperiodcentered}05-0{\textperiodcentered}07) lower LDL cholesterol and higher body weight (0{\textperiodcentered}30 kg, 0{\textperiodcentered}18-0{\textperiodcentered}43), waist circumference (0{\textperiodcentered}32 cm, 0{\textperiodcentered}16-0{\textperiodcentered}47), plasma insulin concentration (1{\textperiodcentered}62\%, 0{\textperiodcentered}53-2{\textperiodcentered}72), and plasma glucose concentration (0{\textperiodcentered}23\%, 0{\textperiodcentered}02-0{\textperiodcentered}44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1{\textperiodcentered}02, 95\% CI 1{\textperiodcentered}00-1{\textperiodcentered}05); the rs12916-T allele association was consistent (1{\textperiodcentered}06, 1{\textperiodcentered}03-1{\textperiodcentered}09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0{\textperiodcentered}92 mmol/L (95\% CI 0{\textperiodcentered}18-1{\textperiodcentered}67) at 1-year of follow-up, increased bodyweight by 0{\textperiodcentered}24 kg (95\% CI 0{\textperiodcentered}10-0{\textperiodcentered}38 in all trials; 0{\textperiodcentered}33 kg, 95\% CI 0{\textperiodcentered}24-0{\textperiodcentered}42 in placebo or standard care controlled trials and -0{\textperiodcentered}15 kg, 95\% CI -0{\textperiodcentered}39 to 0{\textperiodcentered}08 in intensive-dose vs moderate-dose trials) at a mean of 4{\textperiodcentered}2 years (range 1{\textperiodcentered}9-6{\textperiodcentered}7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1{\textperiodcentered}12, 95\% CI 1{\textperiodcentered}06-1{\textperiodcentered}18 in all trials; 1{\textperiodcentered}11, 95\% CI 1{\textperiodcentered}03-1{\textperiodcentered}20 in placebo or standard care controlled trials and 1{\textperiodcentered}12, 95\% CI 1{\textperiodcentered}04-1{\textperiodcentered}22 in intensive-dose vs moderate dose trials).

INTERPRETATION: The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition.

FUNDING: The funding sources are cited at the end of the paper.

}, keywords = {Aged, Body Mass Index, Body Weight, Cholesterol, HDL, Cholesterol, LDL, Diabetes Mellitus, Type 2, Female, Genetic Testing, Humans, Hydroxymethylglutaryl CoA Reductases, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Middle Aged, Polymorphism, Single Nucleotide, Randomized Controlled Trials as Topic, Risk Factors}, issn = {1474-547X}, doi = {10.1016/S0140-6736(14)61183-1}, author = {Swerdlow, Daniel I and Preiss, David and Kuchenbaecker, Karoline B and Holmes, Michael V and Engmann, Jorgen E L and Shah, Tina and Sofat, Reecha and Stender, Stefan and Johnson, Paul C D and Scott, Robert A and Leusink, Maarten and Verweij, Niek and Sharp, Stephen J and Guo, Yiran and Giambartolomei, Claudia and Chung, Christina and Peasey, Anne and Amuzu, Antoinette and Li, KaWah and Palmen, Jutta and Howard, Philip and Cooper, Jackie A and Drenos, Fotios and Li, Yun R and Lowe, Gordon and Gallacher, John and Stewart, Marlene C W and Tzoulaki, Ioanna and Buxbaum, Sarah G and van der A, Daphne L and Forouhi, Nita G and Onland-Moret, N Charlotte and van der Schouw, Yvonne T and Schnabel, Renate B and Hubacek, Jaroslav A and Kubinova, Ruzena and Baceviciene, Migle and Tamosiunas, Abdonas and Pajak, Andrzej and Topor-Madry, Roman and Stepaniak, Urszula and Malyutina, Sofia and Baldassarre, Damiano and Sennblad, Bengt and Tremoli, Elena and de Faire, Ulf and Veglia, Fabrizio and Ford, Ian and Jukema, J Wouter and Westendorp, Rudi G J and de Borst, Gert Jan and de Jong, Pim A and Algra, Ale and Spiering, Wilko and Maitland-van der Zee, Anke H and Klungel, Olaf H and de Boer, Anthonius and Doevendans, Pieter A and Eaton, Charles B and Robinson, Jennifer G and Duggan, David and Kjekshus, John and Downs, John R and Gotto, Antonio M and Keech, Anthony C and Marchioli, Roberto and Tognoni, Gianni and Sever, Peter S and Poulter, Neil R and Waters, David D and Pedersen, Terje R and Amarenco, Pierre and Nakamura, Haruo and McMurray, John J V and Lewsey, James D and Chasman, Daniel I and Ridker, Paul M and Maggioni, Aldo P and Tavazzi, Luigi and Ray, Kausik K and Seshasai, Sreenivasa Rao Kondapally and Manson, JoAnn E and Price, Jackie F and Whincup, Peter H and Morris, Richard W and Lawlor, Debbie A and Smith, George Davey and Ben-Shlomo, Yoav and Schreiner, Pamela J and Fornage, Myriam and Siscovick, David S and Cushman, Mary and Kumari, Meena and Wareham, Nick J and Verschuren, W M Monique and Redline, Susan and Patel, Sanjay R and Whittaker, John C and Hamsten, Anders and Delaney, Joseph A and Dale, Caroline and Gaunt, Tom R and Wong, Andrew and Kuh, Diana and Hardy, Rebecca and Kathiresan, Sekar and Castillo, Berta A and van der Harst, Pim and Brunner, Eric J and Tybjaerg-Hansen, Anne and Marmot, Michael G and Krauss, Ronald M and Tsai, Michael and Coresh, Josef and Hoogeveen, Ronald C and Psaty, Bruce M and Lange, Leslie A and Hakonarson, Hakon and Dudbridge, Frank and Humphries, Steve E and Talmud, Philippa J and Kivimaki, Mika and Timpson, Nicholas J and Langenberg, Claudia and Asselbergs, Folkert W and Voevoda, Mikhail and Bobak, Martin and Pikhart, Hynek and Wilson, James G and Reiner, Alex P and Keating, Brendan J and Hingorani, Aroon D and Sattar, Naveed} } @article {6686, title = {Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.}, journal = {Nat Commun}, volume = {6}, year = {2015}, month = {2015}, pages = {5897}, abstract = {

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4\%) with lower FG (β=-0.09{\textpm}0.01 mmol l(-1), P=3.4 {\texttimes} 10(-12)), T2D risk (OR[95\%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07{\textpm}0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16{\textpm}0.05 mmol l(-1), P=4.3 {\texttimes} 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 {\texttimes} 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20\%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02{\textpm}0.004 mmol l(-1), P=1.3 {\texttimes} 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

}, keywords = {African Continental Ancestry Group, Blood Glucose, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Exome, Fasting, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Glucagon-Like Peptide-1 Receptor, Glucose-6-Phosphatase, Humans, Insulin, Mutation Rate, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide}, issn = {2041-1723}, doi = {10.1038/ncomms6897}, author = {Wessel, Jennifer and Chu, Audrey Y and Willems, Sara M and Wang, Shuai and Yaghootkar, Hanieh and Brody, Jennifer A and Dauriz, Marco and Hivert, Marie-France and Raghavan, Sridharan and Lipovich, Leonard and Hidalgo, Bertha and Fox, Keolu and Huffman, Jennifer E and An, Ping and Lu, Yingchang and Rasmussen-Torvik, Laura J and Grarup, Niels and Ehm, Margaret G and Li, Li and Baldridge, Abigail S and Stan{\v c}{\'a}kov{\'a}, Alena and Abrol, Ravinder and Besse, C{\'e}line and Boland, Anne and Bork-Jensen, Jette and Fornage, Myriam and Freitag, Daniel F and Garcia, Melissa E and Guo, Xiuqing and Hara, Kazuo and Isaacs, Aaron and Jakobsdottir, Johanna and Lange, Leslie A and Layton, Jill C and Li, Man and Hua Zhao, Jing and Meidtner, Karina and Morrison, Alanna C and Nalls, Mike A and Peters, Marjolein J and Sabater-Lleal, Maria and Schurmann, Claudia and Silveira, Angela and Smith, Albert V and Southam, Lorraine and Stoiber, Marcus H and Strawbridge, Rona J and Taylor, Kent D and Varga, Tibor V and Allin, Kristine H and Amin, Najaf and Aponte, Jennifer L and Aung, Tin and Barbieri, Caterina and Bihlmeyer, Nathan A and Boehnke, Michael and Bombieri, Cristina and Bowden, Donald W and Burns, Sean M and Chen, Yuning and Chen, Yii-DerI and Cheng, Ching-Yu and Correa, Adolfo and Czajkowski, Jacek and Dehghan, Abbas and Ehret, Georg B and Eiriksdottir, Gudny and Escher, Stefan A and Farmaki, Aliki-Eleni and Fr{\r a}nberg, Mattias and Gambaro, Giovanni and Giulianini, Franco and Goddard, William A and Goel, Anuj and Gottesman, Omri and Grove, Megan L and Gustafsson, Stefan and Hai, Yang and Hallmans, G{\"o}ran and Heo, Jiyoung and Hoffmann, Per and Ikram, Mohammad K and Jensen, Richard A and J{\o}rgensen, Marit E and J{\o}rgensen, Torben and Karaleftheri, Maria and Khor, Chiea C and Kirkpatrick, Andrea and Kraja, Aldi T and Kuusisto, Johanna and Lange, Ethan M and Lee, I T and Lee, Wen-Jane and Leong, Aaron and Liao, Jiemin and Liu, Chunyu and Liu, Yongmei and Lindgren, Cecilia M and Linneberg, Allan and Malerba, Giovanni and Mamakou, Vasiliki and Marouli, Eirini and Maruthur, Nisa M and Matchan, Angela and McKean-Cowdin, Roberta and McLeod, Olga and Metcalf, Ginger A and Mohlke, Karen L and Muzny, Donna M and Ntalla, Ioanna and Palmer, Nicholette D and Pasko, Dorota and Peter, Andreas and Rayner, Nigel W and Renstrom, Frida and Rice, Ken and Sala, Cinzia F and Sennblad, Bengt and Serafetinidis, Ioannis and Smith, Jennifer A and Soranzo, Nicole and Speliotes, Elizabeth K and Stahl, Eli A and Stirrups, Kathleen and Tentolouris, Nikos and Thanopoulou, Anastasia and Torres, Mina and Traglia, Michela and Tsafantakis, Emmanouil and Javad, Sundas and Yanek, Lisa R and Zengini, Eleni and Becker, Diane M and Bis, Joshua C and Brown, James B and Cupples, L Adrienne and Hansen, Torben and Ingelsson, Erik and Karter, Andrew J and Lorenzo, Carlos and Mathias, Rasika A and Norris, Jill M and Peloso, Gina M and Sheu, Wayne H-H and Toniolo, Daniela and Vaidya, Dhananjay and Varma, Rohit and Wagenknecht, Lynne E and Boeing, Heiner and Bottinger, Erwin P and Dedoussis, George and Deloukas, Panos and Ferrannini, Ele and Franco, Oscar H and Franks, Paul W and Gibbs, Richard A and Gudnason, Vilmundur and Hamsten, Anders and Harris, Tamara B and Hattersley, Andrew T and Hayward, Caroline and Hofman, Albert and Jansson, Jan-H{\r a}kan and Langenberg, Claudia and Launer, Lenore J and Levy, Daniel and Oostra, Ben A and O{\textquoteright}Donnell, Christopher J and O{\textquoteright}Rahilly, Stephen and Padmanabhan, Sandosh and Pankow, James S and Polasek, Ozren and Province, Michael A and Rich, Stephen S and Ridker, Paul M and Rudan, Igor and Schulze, Matthias B and Smith, Blair H and Uitterlinden, Andr{\'e} G and Walker, Mark and Watkins, Hugh and Wong, Tien Y and Zeggini, Eleftheria and Laakso, Markku and Borecki, Ingrid B and Chasman, Daniel I and Pedersen, Oluf and Psaty, Bruce M and Tai, E Shyong and van Duijn, Cornelia M and Wareham, Nicholas J and Waterworth, Dawn M and Boerwinkle, Eric and Kao, W H Linda and Florez, Jose C and Loos, Ruth J F and Wilson, James G and Frayling, Timothy M and Siscovick, David S and Dupuis, Jos{\'e}e and Rotter, Jerome I and Meigs, James B and Scott, Robert A and Goodarzi, Mark O} } @article {6568, title = {Mendelian randomization of blood lipids for coronary heart disease.}, journal = {Eur Heart J}, volume = {36}, year = {2015}, month = {2015 Mar 01}, pages = {539-50}, abstract = {

AIMS: To investigate the causal role of high-density lipoprotein cholesterol (HDL-C) and triglycerides in coronary heart disease (CHD) using multiple instrumental variables for Mendelian randomization.

METHODS AND RESULTS: We developed weighted allele scores based on single nucleotide polymorphisms (SNPs) with established associations with HDL-C, triglycerides, and low-density lipoprotein cholesterol (LDL-C). For each trait, we constructed two scores. The first was unrestricted, including all independent SNPs associated with the lipid trait identified from a prior meta-analysis (threshold P < 2 {\texttimes} 10(-6)); and the second a restricted score, filtered to remove any SNPs also associated with either of the other two lipid traits at P <= 0.01. Mendelian randomization meta-analyses were conducted in 17 studies including 62,199 participants and 12,099 CHD events. Both the unrestricted and restricted allele scores for LDL-C (42 and 19 SNPs, respectively) associated with CHD. For HDL-C, the unrestricted allele score (48 SNPs) was associated with CHD (OR: 0.53; 95\% CI: 0.40, 0.70), per 1 mmol/L higher HDL-C, but neither the restricted allele score (19 SNPs; OR: 0.91; 95\% CI: 0.42, 1.98) nor the unrestricted HDL-C allele score adjusted for triglycerides, LDL-C, or statin use (OR: 0.81; 95\% CI: 0.44, 1.46) showed a robust association. For triglycerides, the unrestricted allele score (67 SNPs) and the restricted allele score (27 SNPs) were both associated with CHD (OR: 1.62; 95\% CI: 1.24, 2.11 and 1.61; 95\% CI: 1.00, 2.59, respectively) per 1-log unit increment. However, the unrestricted triglyceride score adjusted for HDL-C, LDL-C, and statin use gave an OR for CHD of 1.01 (95\% CI: 0.59, 1.75).

CONCLUSION: The genetic findings support a causal effect of triglycerides on CHD risk, but a causal role for HDL-C, though possible, remains less certain.

}, keywords = {Case-Control Studies, Cholesterol, HDL, Coronary Artery Disease, Female, Gene Frequency, Genotype, Genotyping Techniques, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Risk Assessment, Triglycerides}, issn = {1522-9645}, doi = {10.1093/eurheartj/eht571}, author = {Holmes, Michael V and Asselbergs, Folkert W and Palmer, Tom M and Drenos, Fotios and Lanktree, Matthew B and Nelson, Christopher P and Dale, Caroline E and Padmanabhan, Sandosh and Finan, Chris and Swerdlow, Daniel I and Tragante, Vinicius and van Iperen, Erik P A and Sivapalaratnam, Suthesh and Shah, Sonia and Elbers, Clara C and Shah, Tina and Engmann, Jorgen and Giambartolomei, Claudia and White, Jon and Zabaneh, Delilah and Sofat, Reecha and McLachlan, Stela and Doevendans, Pieter A and Balmforth, Anthony J and Hall, Alistair S and North, Kari E and Almoguera, Berta and Hoogeveen, Ron C and Cushman, Mary and Fornage, Myriam and Patel, Sanjay R and Redline, Susan and Siscovick, David S and Tsai, Michael Y and Karczewski, Konrad J and Hofker, Marten H and Verschuren, W Monique and Bots, Michiel L and van der Schouw, Yvonne T and Melander, Olle and Dominiczak, Anna F and Morris, Richard and Ben-Shlomo, Yoav and Price, Jackie and Kumari, Meena and Baumert, Jens and Peters, Annette and Thorand, Barbara and Koenig, Wolfgang and Gaunt, Tom R and Humphries, Steve E and Clarke, Robert and Watkins, Hugh and Farrall, Martin and Wilson, James G and Rich, Stephen S and de Bakker, Paul I W and Lange, Leslie A and Davey Smith, George and Reiner, Alex P and Talmud, Philippa J and Kivimaki, Mika and Lawlor, Debbie A and Dudbridge, Frank and Samani, Nilesh J and Keating, Brendan J and Hingorani, Aroon D and Casas, Juan P} } @article {6812, title = {Meta-Analysis of Genome-Wide Association Studies Identifies Genetic Risk Factors for Stroke in African Americans.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Aug}, pages = {2063-8}, abstract = {

BACKGROUND AND PURPOSE: The majority of genome-wide association studies (GWAS) of stroke have focused on European-ancestry populations; however, none has been conducted in African Americans, despite the disproportionately high burden of stroke in this population. The Consortium of Minority Population Genome-Wide Association Studies of Stroke (COMPASS) was established to identify stroke susceptibility loci in minority populations.

METHODS: Using METAL, we conducted meta-analyses of GWAS in 14 746 African Americans (1365 ischemic and 1592 total stroke cases) from COMPASS, and tested genetic variants with P<10(-6) for validation in METASTROKE, a consortium of ischemic stroke genetic studies in European-ancestry populations. We also evaluated stroke loci previously identified in European-ancestry populations.

RESULTS: The 15q21.3 locus linked with lipid levels and hypertension was associated with total stroke (rs4471613; P=3.9{\texttimes}10(-8)) in African Americans. Nominal associations (P<10(-6)) for total or ischemic stroke were observed for 18 variants in or near genes implicated in cell cycle/mRNA presplicing (PTPRG, CDC5L), platelet function (HPS4), blood-brain barrier permeability (CLDN17), immune response (ELTD1, WDFY4, and IL1F10-IL1RN), and histone modification (HDAC9). Two of these loci achieved nominal significance in METASTROKE: 5q35.2 (P=0.03), and 1p31.1 (P=0.018). Four of 7 previously reported ischemic stroke loci (PITX2, HDAC9, CDKN2A/CDKN2B, and ZFHX3) were nominally associated (P<0.05) with stroke in COMPASS.

CONCLUSIONS: We identified a novel genetic variant associated with total stroke in African Americans and found that ischemic stroke loci identified in European-ancestry populations may also be relevant for African Americans. Our findings support investigation of diverse populations to identify and characterize genetic risk factors, and the importance of shared genetic risk across populations.

}, keywords = {African Americans, Case-Control Studies, Cohort Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.115.009044}, author = {Carty, Cara L and Keene, Keith L and Cheng, Yu-Ching and Meschia, James F and Chen, Wei-Min and Nalls, Mike and Bis, Joshua C and Kittner, Steven J and Rich, Stephen S and Tajuddin, Salman and Zonderman, Alan B and Evans, Michele K and Langefeld, Carl D and Gottesman, Rebecca and Mosley, Thomas H and Shahar, Eyal and Woo, Daniel and Yaffe, Kristine and Liu, Yongmei and Sale, Mich{\`e}le M and Dichgans, Martin and Malik, Rainer and Longstreth, W T and Mitchell, Braxton D and Psaty, Bruce M and Kooperberg, Charles and Reiner, Alexander and Worrall, Bradford B and Fornage, Myriam} } @article {6683, title = {Multiethnic genome-wide association study of cerebral white matter hyperintensities on MRI.}, journal = {Circ Cardiovasc Genet}, volume = {8}, year = {2015}, month = {2015 Apr}, pages = {398-409}, abstract = {

BACKGROUND: The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies.

METHODS AND RESULTS: We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7{\texttimes}10(-19)) and identified novel loci on chr10q24 (P=1.6{\texttimes}10(-9)) and chr2p21 (P=4.4{\texttimes}10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0{\texttimes}10(-8)) and chr2p16 (P=1.5{\texttimes}10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).

CONCLUSIONS: We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

}, keywords = {Aged, Aged, 80 and over, Chromosomes, Human, Continental Population Groups, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Models, Genetic, Stroke, White Matter}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.114.000858}, author = {Verhaaren, Benjamin F J and Debette, Stephanie and Bis, Joshua C and Smith, Jennifer A and Ikram, M Kamran and Adams, Hieab H and Beecham, Ashley H and Rajan, Kumar B and Lopez, Lorna M and Barral, Sandra and van Buchem, Mark A and van der Grond, Jeroen and Smith, Albert V and Hegenscheid, Katrin and Aggarwal, Neelum T and de Andrade, Mariza and Atkinson, Elizabeth J and Beekman, Marian and Beiser, Alexa S and Blanton, Susan H and Boerwinkle, Eric and Brickman, Adam M and Bryan, R Nick and Chauhan, Ganesh and Chen, Christopher P L H and Chouraki, Vincent and de Craen, Anton J M and Crivello, Fabrice and Deary, Ian J and Deelen, Joris and De Jager, Philip L and Dufouil, Carole and Elkind, Mitchell S V and Evans, Denis A and Freudenberger, Paul and Gottesman, Rebecca F and Gu{\dh}nason, Vilmundur and Habes, Mohamad and Heckbert, Susan R and Heiss, Gerardo and Hilal, Saima and Hofer, Edith and Hofman, Albert and Ibrahim-Verbaas, Carla A and Knopman, David S and Lewis, Cora E and Liao, Jiemin and Liewald, David C M and Luciano, Michelle and van der Lugt, Aad and Martinez, Oliver O and Mayeux, Richard and Mazoyer, Bernard and Nalls, Mike and Nauck, Matthias and Niessen, Wiro J and Oostra, Ben A and Psaty, Bruce M and Rice, Kenneth M and Rotter, Jerome I and von Sarnowski, Bettina and Schmidt, Helena and Schreiner, Pamela J and Schuur, Maaike and Sidney, Stephen S and Sigurdsson, Sigurdur and Slagboom, P Eline and Stott, David J M and van Swieten, John C and Teumer, Alexander and T{\"o}glhofer, Anna Maria and Traylor, Matthew and Trompet, Stella and Turner, Stephen T and Tzourio, Christophe and Uh, Hae-Won and Uitterlinden, Andr{\'e} G and Vernooij, Meike W and Wang, Jing J and Wong, Tien Y and Wardlaw, Joanna M and Windham, B Gwen and Wittfeld, Katharina and Wolf, Christiane and Wright, Clinton B and Yang, Qiong and Zhao, Wei and Zijdenbos, Alex and Jukema, J Wouter and Sacco, Ralph L and Kardia, Sharon L R and Amouyel, Philippe and Mosley, Thomas H and Longstreth, W T and DeCarli, Charles C and van Duijn, Cornelia M and Schmidt, Reinhold and Launer, Lenore J and Grabe, Hans J and Seshadri, Sudha S and Ikram, M Arfan and Fornage, Myriam} } @article {6849, title = {Rare and Coding Region Genetic Variants Associated With Risk of Ischemic Stroke: The NHLBI Exome Sequence Project.}, journal = {JAMA Neurol}, volume = {72}, year = {2015}, month = {2015 Jul}, pages = {781-8}, abstract = {

IMPORTANCE: Stroke is the second leading cause of death and the third leading cause of years of life lost. Genetic factors contribute to stroke prevalence, and candidate gene and genome-wide association studies (GWAS) have identified variants associated with ischemic stroke risk. These variants often have small effects without obvious biological significance. Exome sequencing may discover predicted protein-altering variants with a potentially large effect on ischemic stroke risk.

OBJECTIVE: To investigate the contribution of rare and common genetic variants to ischemic stroke risk by targeting the protein-coding regions of the human genome.

DESIGN, SETTING, AND PARTICIPANTS: The National Heart, Lung, and Blood Institute (NHLBI) Exome Sequencing Project (ESP) analyzed approximately 6000 participants from numerous cohorts of European and African ancestry. For discovery, 365 cases of ischemic stroke (small-vessel and large-vessel subtypes) and 809 European ancestry controls were sequenced; for replication, 47 affected sibpairs concordant for stroke subtype and an African American case-control series were sequenced, with 1672 cases and 4509 European ancestry controls genotyped. The ESP{\textquoteright}s exome sequencing and genotyping started on January 1, 2010, and continued through June 30, 2012. Analyses were conducted on the full data set between July 12, 2012, and July 13, 2013.

MAIN OUTCOMES AND MEASURES: Discovery of new variants or genes contributing to ischemic stroke risk and subtype (primary analysis) and determination of support for protein-coding variants contributing to risk in previously published candidate genes (secondary analysis).

RESULTS: We identified 2 novel genes associated with an increased risk of ischemic stroke: a protein-coding variant in PDE4DIP (rs1778155; odds ratio, 2.15; P = 2.63 {\texttimes} 10(-8)) with an intracellular signal transduction mechanism and in ACOT4 (rs35724886; odds ratio, 2.04; P = 1.24 {\texttimes} 10(-7)) with a fatty acid metabolism; confirmation of PDE4DIP was observed in affected sibpair families with large-vessel stroke subtype and in African Americans. Replication of protein-coding variants in candidate genes was observed for 2 previously reported GWAS associations: ZFHX3 (cardioembolic stroke) and ABCA1 (large-vessel stroke).

CONCLUSIONS AND RELEVANCE: Exome sequencing discovered 2 novel genes and mechanisms, PDE4DIP and ACOT4, associated with increased risk for ischemic stroke. In addition, ZFHX3 and ABCA1 were discovered to have protein-coding variants associated with ischemic stroke. These results suggest that genetic variation in novel pathways contributes to ischemic stroke risk and serves as a target for prediction, prevention, and therapy.

}, keywords = {Aged, Brain Ischemia, Exome, Female, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Muscle Proteins, National Heart, Lung, and Blood Institute (U.S.), Nuclear Proteins, Open Reading Frames, Palmitoyl-CoA Hydrolase, Stroke, United States}, issn = {2168-6157}, doi = {10.1001/jamaneurol.2015.0582}, author = {Auer, Paul L and Nalls, Mike and Meschia, James F and Worrall, Bradford B and Longstreth, W T and Seshadri, Sudha and Kooperberg, Charles and Burger, Kathleen M and Carlson, Christopher S and Carty, Cara L and Chen, Wei-Min and Cupples, L Adrienne and DeStefano, Anita L and Fornage, Myriam and Hardy, John and Hsu, Li and Jackson, Rebecca D and Jarvik, Gail P and Kim, Daniel S and Lakshminarayan, Kamakshi and Lange, Leslie A and Manichaikul, Ani and Quinlan, Aaron R and Singleton, Andrew B and Thornton, Timothy A and Nickerson, Deborah A and Peters, Ulrike and Rich, Stephen S} } @article {6788, title = {Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF.}, journal = {Blood}, volume = {126}, year = {2015}, month = {2015 Sep 10}, pages = {e19-29}, abstract = {

Fibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] >=0.01 and <0.05) and rare (MAF <0.01) variants that influence plasma concentrations of these 4 hemostatic factors by meta-analyzing exome chip data from up to 76,000 participants of 4 ancestries. We identified 12 novel associations of low-frequency (n = 2) and rare (n = 10) variants across the fibrinogen, FVII, FVIII, and vWF traits that were independent of previously identified associations. Novel loci were found within previously reported genes and had effect sizes much larger than and independent of previously identified common variants. In addition, associations at KCNT1, HID1, and KATNB1 identified new candidate genes related to hemostasis for follow-up replication and functional genomic analysis. Newly identified low-frequency and rare-variant associations accounted for modest amounts of trait variance and therefore are unlikely to increase predicted trait heritability but provide new information for understanding individual variation in hemostasis pathways.

}, keywords = {Cohort Studies, Factor VII, Factor VIII, Fibrinogen, Gene Frequency, Genetic Association Studies, Genetic Variation, Humans, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, von Willebrand Factor}, issn = {1528-0020}, doi = {10.1182/blood-2015-02-624551}, author = {Huffman, Jennifer E and de Vries, Paul S and Morrison, Alanna C and Sabater-Lleal, Maria and Kacprowski, Tim and Auer, Paul L and Brody, Jennifer A and Chasman, Daniel I and Chen, Ming-Huei and Guo, Xiuqing and Lin, Li-An and Marioni, Riccardo E and M{\"u}ller-Nurasyid, Martina and Yanek, Lisa R and Pankratz, Nathan and Grove, Megan L and de Maat, Moniek P M and Cushman, Mary and Wiggins, Kerri L and Qi, Lihong and Sennblad, Bengt and Harris, Sarah E and Polasek, Ozren and Riess, Helene and Rivadeneira, Fernando and Rose, Lynda M and Goel, Anuj and Taylor, Kent D and Teumer, Alexander and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and Yao, Jie and Tang, Weihong and Levy, Daniel and Waldenberger, Melanie and Becker, Diane M and Folsom, Aaron R and Giulianini, Franco and Greinacher, Andreas and Hofman, Albert and Huang, Chiang-Ching and Kooperberg, Charles and Silveira, Angela and Starr, John M and Strauch, Konstantin and Strawbridge, Rona J and Wright, Alan F and McKnight, Barbara and Franco, Oscar H and Zakai, Neil and Mathias, Rasika A and Psaty, Bruce M and Ridker, Paul M and Tofler, Geoffrey H and V{\"o}lker, Uwe and Watkins, Hugh and Fornage, Myriam and Hamsten, Anders and Deary, Ian J and Boerwinkle, Eric and Koenig, Wolfgang and Rotter, Jerome I and Hayward, Caroline and Dehghan, Abbas and Reiner, Alex P and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L} } @article {6813, title = {Shared genetic basis for migraine and ischemic stroke: A genome-wide analysis of common variants.}, journal = {Neurology}, volume = {84}, year = {2015}, month = {2015 May 26}, pages = {2132-45}, abstract = {

OBJECTIVE: To quantify genetic overlap between migraine and ischemic stroke (IS) with respect to common genetic variation.

METHODS: We applied 4 different approaches to large-scale meta-analyses of genome-wide data on migraine (23,285 cases and 95,425 controls) and IS (12,389 cases and 62,004 controls). First, we queried known genome-wide significant loci for both disorders, looking for potential overlap of signals. We then analyzed the overall shared genetic load using polygenic scores and estimated the genetic correlation between disease subtypes using data derived from these models. We further interrogated genomic regions of shared risk using analysis of covariance patterns between the 2 phenotypes using cross-phenotype spatial mapping.

RESULTS: We found substantial genetic overlap between migraine and IS using all 4 approaches. Migraine without aura (MO) showed much stronger overlap with IS and its subtypes than migraine with aura (MA). The strongest overlap existed between MO and large artery stroke (LAS; p = 6.4 {\texttimes} 10(-28) for the LAS polygenic score in MO) and between MO and cardioembolic stroke (CE; p = 2.7 {\texttimes} 10(-20) for the CE score in MO).

CONCLUSIONS: Our findings indicate shared genetic susceptibility to migraine and IS, with a particularly strong overlap between MO and both LAS and CE pointing towards shared mechanisms. Our observations on MA are consistent with a limited role of common genetic variants in this subtype.

}, keywords = {Brain Ischemia, Genome-Wide Association Study, Humans, Migraine with Aura, Migraine without Aura, Stroke}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000001606}, author = {Malik, Rainer and Freilinger, Tobias and Winsvold, Bendik S and Anttila, Verneri and Vander Heiden, Jason and Traylor, Matthew and de Vries, Boukje and Holliday, Elizabeth G and Terwindt, Gisela M and Sturm, Jonathan and Bis, Joshua C and Hopewell, Jemma C and Ferrari, Michel D and Rannikmae, Kristiina and Wessman, Maija and Kallela, Mikko and Kubisch, Christian and Fornage, Myriam and Meschia, James F and Lehtim{\"a}ki, Terho and Sudlow, Cathie and Clarke, Robert and Chasman, Daniel I and Mitchell, Braxton D and Maguire, Jane and Kaprio, Jaakko and Farrall, Martin and Raitakari, Olli T and Kurth, Tobias and Ikram, M Arfan and Reiner, Alex P and Longstreth, W T and Rothwell, Peter M and Strachan, David P and Sharma, Pankaj and Seshadri, Sudha and Quaye, Lydia and Cherkas, Lynn and Sch{\"u}rks, Markus and Rosand, Jonathan and Ligthart, Lannie and Boncoraglio, Giorgio B and Davey Smith, George and van Duijn, Cornelia M and Stefansson, Kari and Worrall, Bradford B and Nyholt, Dale R and Markus, Hugh S and van den Maagdenberg, Arn M J M and Cotsapas, Chris and Zwart, John A and Palotie, Aarno and Dichgans, Martin} } @article {6861, title = {White Matter Lesion Progression: Genome-Wide Search for Genetic Influences.}, journal = {Stroke}, volume = {46}, year = {2015}, month = {2015 Nov}, pages = {3048-57}, abstract = {

BACKGROUND AND PURPOSE: White matter lesion (WML) progression on magnetic resonance imaging is related to cognitive decline and stroke, but its determinants besides baseline WML burden are largely unknown. Here, we estimated heritability of WML progression, and sought common genetic variants associated with WML progression in elderly participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.

METHODS: Heritability of WML progression was calculated in the Framingham Heart Study. The genome-wide association study included 7773 elderly participants from 10 cohorts. To assess the relative contribution of genetic factors to progression of WML, we compared in 7 cohorts risk models including demographics, vascular risk factors plus single-nucleotide polymorphisms that have been shown to be associated cross-sectionally with WML in the current and previous association studies.

RESULTS: A total of 1085 subjects showed WML progression. The heritability estimate for WML progression was low at 6.5\%, and no single-nucleotide polymorphisms achieved genome-wide significance (P<5{\texttimes}10(-8)). Four loci were suggestive (P<1{\texttimes}10(-5)) of an association with WML progression: 10q24.32 (rs10883817, P=1.46{\texttimes}10(-6)); 12q13.13 (rs4761974, P=8.71{\texttimes}10(-7)); 20p12.1 (rs6135309, P=3.69{\texttimes}10(-6)); and 4p15.31 (rs7664442, P=2.26{\texttimes}10(-6)). Variants that have been previously related to WML explained only 0.8\% to 11.7\% more of the variance in WML progression than age, vascular risk factors, and baseline WML burden.

CONCLUSIONS: Common genetic factors contribute little to the progression of age-related WML in middle-aged and older adults. Future research on determinants of WML progression should focus more on environmental, lifestyle, or host-related biological factors.

}, keywords = {Adult, Aged, Cohort Studies, Disease Progression, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Leukoencephalopathies, Male, Middle Aged, Prospective Studies, White Matter}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.115.009252}, author = {Hofer, Edith and Cavalieri, Margherita and Bis, Joshua C and DeCarli, Charles and Fornage, Myriam and Sigurdsson, Sigurdur and Srikanth, Velandai and Trompet, Stella and Verhaaren, Benjamin F J and Wolf, Christiane and Yang, Qiong and Adams, Hieab H H and Amouyel, Philippe and Beiser, Alexa and Buckley, Brendan M and Callisaya, Michele and Chauhan, Ganesh and de Craen, Anton J M and Dufouil, Carole and van Duijn, Cornelia M and Ford, Ian and Freudenberger, Paul and Gottesman, Rebecca F and Gudnason, Vilmundur and Heiss, Gerardo and Hofman, Albert and Lumley, Thomas and Martinez, Oliver and Mazoyer, Bernard and Moran, Chris and Niessen, Wiro J and Phan, Thanh and Psaty, Bruce M and Satizabal, Claudia L and Sattar, Naveed and Schilling, Sabrina and Shibata, Dean K and Slagboom, P Eline and Smith, Albert and Stott, David J and Taylor, Kent D and Thomson, Russell and T{\"o}glhofer, Anna M and Tzourio, Christophe and van Buchem, Mark and Wang, Jing and Westendorp, Rudi G J and Windham, B Gwen and Vernooij, Meike W and Zijdenbos, Alex and Beare, Richard and Debette, Stephanie and Ikram, M Arfan and Jukema, J Wouter and Launer, Lenore J and Longstreth, W T and Mosley, Thomas H and Seshadri, Sudha and Schmidt, Helena and Schmidt, Reinhold} } @article {7349, title = {DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases.}, journal = {Genome Biol}, volume = {17}, year = {2016}, month = {2016 Dec 12}, pages = {255}, abstract = {

BACKGROUND: Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation.

RESULTS: We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 {\texttimes} 10(-7)) in the discovery panel of European ancestry and replicated (P < 2.29 {\texttimes} 10(-4)) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16\%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 {\texttimes} 10(-5)), ten (17\%) CpG sites were associated with a nearby genetic variant (P < 2.50 {\texttimes} 10(-3)), and 51 (88\%) were also associated with at least one related cardiometabolic entity (P < 9.58 {\texttimes} 10(-5)). An additive weighted score of replicated CpG sites accounted for up to 6\% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants.

CONCLUSION: We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation.

}, issn = {1474-760X}, doi = {10.1186/s13059-016-1119-5}, author = {Ligthart, Symen and Marzi, Carola and Aslibekyan, Stella and Mendelson, Michael M and Conneely, Karen N and Tanaka, Toshiko and Colicino, Elena and Waite, Lindsay L and Joehanes, Roby and Guan, Weihua and Brody, Jennifer A and Elks, Cathy and Marioni, Riccardo and Jhun, Min A and Agha, Golareh and Bressler, Jan and Ward-Caviness, Cavin K and Chen, Brian H and Huan, Tianxiao and Bakulski, Kelly and Salfati, Elias L and Fiorito, Giovanni and Wahl, Simone and Schramm, Katharina and Sha, Jin and Hernandez, Dena G and Just, Allan C and Smith, Jennifer A and Sotoodehnia, Nona and Pilling, Luke C and Pankow, James S and Tsao, Phil S and Liu, Chunyu and Zhao, Wei and Guarrera, Simonetta and Michopoulos, Vasiliki J and Smith, Alicia K and Peters, Marjolein J and Melzer, David and Vokonas, Pantel and Fornage, Myriam and Prokisch, Holger and Bis, Joshua C and Chu, Audrey Y and Herder, Christian and Grallert, Harald and Yao, Chen and Shah, Sonia and McRae, Allan F and Lin, Honghuang and Horvath, Steve and Fallin, Daniele and Hofman, Albert and Wareham, Nicholas J and Wiggins, Kerri L and Feinberg, Andrew P and Starr, John M and Visscher, Peter M and Murabito, Joanne M and Kardia, Sharon L R and Absher, Devin M and Binder, Elisabeth B and Singleton, Andrew B and Bandinelli, Stefania and Peters, Annette and Waldenberger, Melanie and Matullo, Giuseppe and Schwartz, Joel D and Demerath, Ellen W and Uitterlinden, Andr{\'e} G and van Meurs, Joyce B J and Franco, Oscar H and Chen, Yii-Der Ida and Levy, Daniel and Turner, Stephen T and Deary, Ian J and Ressler, Kerry J and Dupuis, Jos{\'e}e and Ferrucci, Luigi and Ong, Ken K and Assimes, Themistocles L and Boerwinkle, Eric and Koenig, Wolfgang and Arnett, Donna K and Baccarelli, Andrea A and Benjamin, Emelia J and Dehghan, Abbas} } @article {7145, title = {An Empirical Comparison of Joint and Stratified Frameworks for Studying G {\texttimes} E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.}, journal = {Genet Epidemiol}, volume = {40}, year = {2016}, month = {2016 Jul}, pages = {404-15}, abstract = {

Studying gene-environment (G {\texttimes} E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G {\texttimes} E interactions uses a single regression model that includes both the genetic main and G {\texttimes} E interaction effects (the "joint" framework). The alternative "stratified" framework combines results from genetic main-effect analyses carried out separately within the exposed and unexposed groups. Although there have been several investigations using theory and simulation, an empirical comparison of the two frameworks is lacking. Here, we compare the two frameworks using results from genome-wide association studies of systolic blood pressure for 3.2 million low frequency and 6.5 million common variants across 20 cohorts of European ancestry, comprising 79,731 individuals. Our cohorts have sample sizes ranging from 456 to 22,983 and include both family-based and population-based samples. In cohort-specific analyses, the two frameworks provided similar inference for population-based cohorts. The agreement was reduced for family-based cohorts. In meta-analyses, agreement between the two frameworks was less than that observed in cohort-specific analyses, despite the increased sample size. In meta-analyses, agreement depended on (1) the minor allele frequency, (2) inclusion of family-based cohorts in meta-analysis, and (3) filtering scheme. The stratified framework appears to approximate the joint framework well only for common variants in population-based cohorts. We conclude that the joint framework is the preferred approach and should be used to control false positives when dealing with low-frequency variants and/or family-based cohorts.

}, issn = {1098-2272}, doi = {10.1002/gepi.21978}, author = {Sung, Yun Ju and Winkler, Thomas W and Manning, Alisa K and Aschard, Hugues and Gudnason, Vilmundur and Harris, Tamara B and Smith, Albert V and Boerwinkle, Eric and Brown, Michael R and Morrison, Alanna C and Fornage, Myriam and Lin, Li-An and Richard, Melissa and Bartz, Traci M and Psaty, Bruce M and Hayward, Caroline and Polasek, Ozren and Marten, Jonathan and Rudan, Igor and Feitosa, Mary F and Kraja, Aldi T and Province, Michael A and Deng, Xuan and Fisher, Virginia A and Zhou, Yanhua and Bielak, Lawrence F and Smith, Jennifer and Huffman, Jennifer E and Padmanabhan, Sandosh and Smith, Blair H and Ding, Jingzhong and Liu, Yongmei and Lohman, Kurt and Bouchard, Claude and Rankinen, Tuomo and Rice, Treva K and Arnett, Donna and Schwander, Karen and Guo, Xiuqing and Palmas, Walter and Rotter, Jerome I and Alfred, Tamuno and Bottinger, Erwin P and Loos, Ruth J F and Amin, Najaf and Franco, Oscar H and van Duijn, Cornelia M and Vojinovic, Dina and Chasman, Daniel I and Ridker, Paul M and Rose, Lynda M and Kardia, Sharon and Zhu, Xiaofeng and Rice, Kenneth and Borecki, Ingrid B and Rao, Dabeeru C and Gauderman, W James and Cupples, L Adrienne} } @article {7261, title = {Epigenetic Signatures of Cigarette Smoking.}, journal = {Circ Cardiovasc Genet}, volume = {9}, year = {2016}, month = {2016 Oct}, pages = {436-447}, abstract = {

BACKGROUND: DNA methylation leaves a long-term signature of smoking exposure and is one potential mechanism by which tobacco exposure predisposes to adverse health outcomes, such as cancers, osteoporosis, lung, and cardiovascular disorders.

METHODS AND RESULTS: To comprehensively determine the association between cigarette smoking and DNA methylation, we conducted a meta-analysis of genome-wide DNA methylation assessed using the Illumina BeadChip 450K array on 15 907 blood-derived DNA samples from participants in 16 cohorts (including 2433 current, 6518 former, and 6956 never smokers). Comparing current versus never smokers, 2623 cytosine-phosphate-guanine sites (CpGs), annotated to 1405 genes, were statistically significantly differentially methylated at Bonferroni threshold of P<1{\texttimes}10(-7) (18 760 CpGs at false discovery rate <0.05). Genes annotated to these CpGs were enriched for associations with several smoking-related traits in genome-wide studies including pulmonary function, cancers, inflammatory diseases, and heart disease. Comparing former versus never smokers, 185 of the CpGs that differed between current and never smokers were significant P<1{\texttimes}10(-7) (2623 CpGs at false discovery rate <0.05), indicating a pattern of persistent altered methylation, with attenuation, after smoking cessation. Transcriptomic integration identified effects on gene expression at many differentially methylated CpGs.

CONCLUSIONS: Cigarette smoking has a broad impact on genome-wide methylation that, at many loci, persists many years after smoking cessation. Many of the differentially methylated genes were novel genes with respect to biological effects of smoking and might represent therapeutic targets for prevention or treatment of tobacco-related diseases. Methylation at these sites could also serve as sensitive and stable biomarkers of lifetime exposure to tobacco smoke.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.116.001506}, author = {Joehanes, Roby and Just, Allan C and Marioni, Riccardo E and Pilling, Luke C and Reynolds, Lindsay M and Mandaviya, Pooja R and Guan, Weihua and Xu, Tao and Elks, Cathy E and Aslibekyan, Stella and Moreno-Macias, Hortensia and Smith, Jennifer A and Brody, Jennifer A and Dhingra, Radhika and Yousefi, Paul and Pankow, James S and Kunze, Sonja and Shah, Sonia H and McRae, Allan F and Lohman, Kurt and Sha, Jin and Absher, Devin M and Ferrucci, Luigi and Zhao, Wei and Demerath, Ellen W and Bressler, Jan and Grove, Megan L and Huan, Tianxiao and Liu, Chunyu and Mendelson, Michael M and Yao, Chen and Kiel, Douglas P and Peters, Annette and Wang-Sattler, Rui and Visscher, Peter M and Wray, Naomi R and Starr, John M and Ding, Jingzhong and Rodriguez, Carlos J and Wareham, Nicholas J and Irvin, Marguerite R and Zhi, Degui and Barrdahl, Myrto and Vineis, Paolo and Ambatipudi, Srikant and Uitterlinden, Andr{\'e} G and Hofman, Albert and Schwartz, Joel and Colicino, Elena and Hou, Lifang and Vokonas, Pantel S and Hernandez, Dena G and Singleton, Andrew B and Bandinelli, Stefania and Turner, Stephen T and Ware, Erin B and Smith, Alicia K and Klengel, Torsten and Binder, Elisabeth B and Psaty, Bruce M and Taylor, Kent D and Gharib, Sina A and Swenson, Brenton R and Liang, Liming and DeMeo, Dawn L and O{\textquoteright}Connor, George T and Herceg, Zdenko and Ressler, Kerry J and Conneely, Karen N and Sotoodehnia, Nona and Kardia, Sharon L R and Melzer, David and Baccarelli, Andrea A and van Meurs, Joyce B J and Romieu, Isabelle and Arnett, Donna K and Ong, Ken K and Liu, Yongmei and Waldenberger, Melanie and Deary, Ian J and Fornage, Myriam and Levy, Daniel and London, Stephanie J} } @article {7138, title = {Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {8-21}, abstract = {

Red blood cell (RBC) traits are important heritable clinical biomarkers and modifiers of disease severity. To identify coding genetic variants associated with these traits, we conducted meta-analyses of seven RBC phenotypes in 130,273 multi-ethnic individuals from~studies genotyped on an exome array. After conditional analyses and replication in 27,480 independent individuals, we identified 16 new RBC variants. We found low-frequency missense variants in MAP1A (rs55707100, minor allele frequency [MAF] = 3.3\%, p = 2~{\texttimes}~10(-10) for hemoglobin [HGB]) and HNF4A (rs1800961, MAF = 2.4\%, p < 3~{\texttimes} 10(-8) for hematocrit [HCT] and HGB). In African Americans, we identified a nonsense variant in CD36 associated with higher RBC distribution width (rs3211938, MAF = 8.7\%, p = 7~{\texttimes} 10(-11)) and showed that it is associated with lower CD36 expression and strong allelic imbalance in ex~vivo differentiated human erythroblasts. We also identified a rare missense variant in ALAS2 (rs201062903, MAF = 0.2\%) associated with lower mean corpuscular volume and mean corpuscular hemoglobin (p < 8~{\texttimes} 10(-9)). Mendelian mutations in ALAS2 are a cause of sideroblastic anemia and erythropoietic protoporphyria. Gene-based testing highlighted three rare missense variants in PKLR, a gene mutated in Mendelian non-spherocytic hemolytic anemia, associated with HGB and HCT (SKAT p < 8~{\texttimes} 10(-7)). These rare, low-frequency, and common RBC variants showed pleiotropy, being also associated with platelet, white blood cell, and lipid traits. Our association results and functional annotation suggest the involvement of new genes in human erythropoiesis. We also confirm that rare and low-frequency variants play a role in the architecture of complex human traits, although their phenotypic effect is generally smaller than originally anticipated.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.007}, author = {Chami, Nathalie and Chen, Ming-Huei and Slater, Andrew J and Eicher, John D and Evangelou, Evangelos and Tajuddin, Salman M and Love-Gregory, Latisha and Kacprowski, Tim and Schick, Ursula M and Nomura, Akihiro and Giri, Ayush and Lessard, Samuel and Brody, Jennifer A and Schurmann, Claudia and Pankratz, Nathan and Yanek, Lisa R and Manichaikul, Ani and Pazoki, Raha and Mihailov, Evelin and Hill, W David and Raffield, Laura M and Burt, Amber and Bartz, Traci M and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Bork-Jensen, Jette and Bottinger, Erwin P and O{\textquoteright}Donoghue, Michelle L and Crosslin, David R and de Denus, Simon and Dub{\'e}, Marie-Pierre and Elliott, Paul and Engstr{\"o}m, Gunnar and Evans, Michele K and Floyd, James S and Fornage, Myriam and Gao, He and Greinacher, Andreas and Gudnason, Vilmundur and Hansen, Torben and Harris, Tamara B and Hayward, Caroline and Hernesniemi, Jussi and Highland, Heather M and Hirschhorn, Joel N and Hofman, Albert and Irvin, Marguerite R and K{\"a}h{\"o}nen, Mika and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Li, Jin and Liewald, David C M and Linneberg, Allan and Liu, Yongmei and Lu, Yingchang and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Mathias, Rasika A and Melander, Olle and Metspalu, Andres and Mononen, Nina and Nalls, Mike A and Nickerson, Deborah A and Nikus, Kjell and O{\textquoteright}Donnell, Chris J and Orho-Melander, Marju and Pedersen, Oluf and Petersmann, Astrid and Polfus, Linda and Psaty, Bruce M and Raitakari, Olli T and Raitoharju, Emma and Richard, Melissa and Rice, Kenneth M and Rivadeneira, Fernando and Rotter, Jerome I and Schmidt, Frank and Smith, Albert Vernon and Starr, John M and Taylor, Kent D and Teumer, Alexander and Thuesen, Betina H and Torstenson, Eric S and Tracy, Russell P and Tzoulaki, Ioanna and Zakai, Neil A and Vacchi-Suzzi, Caterina and van Duijn, Cornelia M and van Rooij, Frank J A and Cushman, Mary and Deary, Ian J and Velez Edwards, Digna R and Vergnaud, Anne-Claire and Wallentin, Lars and Waterworth, Dawn M and White, Harvey D and Wilson, James G and Zonderman, Alan B and Kathiresan, Sekar and Grarup, Niels and Esko, T{\~o}nu and Loos, Ruth J F and Lange, Leslie A and Faraday, Nauder and Abumrad, Nada A and Edwards, Todd L and Ganesh, Santhi K and Auer, Paul L and Johnson, Andrew D and Reiner, Alexander P and Lettre, Guillaume} } @article {6991, title = {Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2.}, journal = {Stroke}, volume = {47}, year = {2016}, month = {2016 Feb}, pages = {307-16}, abstract = {

BACKGROUND AND PURPOSE: Although a genetic contribution to ischemic stroke is well recognized, only a handful of stroke loci have been identified by large-scale genetic association studies to date. Hypothesizing that genetic effects might be stronger for early- versus late-onset stroke, we conducted a 2-stage meta-analysis of genome-wide association studies, focusing on stroke cases with an age of onset <60 years.

METHODS: The discovery stage of our genome-wide association studies included 4505 cases and 21 968 controls of European, South-Asian, and African ancestry, drawn from 6 studies. In Stage 2, we selected the lead genetic variants at loci with association P<5{\texttimes}10(-6) and performed in silico association analyses in an independent sample of <=1003 cases and 7745 controls.

RESULTS: One stroke susceptibility locus at 10q25 reached genome-wide significance in the combined analysis of all samples from the discovery and follow-up stages (rs11196288; odds ratio =1.41; P=9.5{\texttimes}10(-9)). The associated locus is in an intergenic region between TCF7L2 and HABP2. In a further analysis in an independent sample, we found that 2 single nucleotide polymorphisms in high linkage disequilibrium with rs11196288 were significantly associated with total plasma factor VII-activating protease levels, a product of HABP2.

CONCLUSIONS: HABP2, which encodes an extracellular serine protease involved in coagulation, fibrinolysis, and inflammatory pathways, may be a genetic susceptibility locus for early-onset stroke.

}, keywords = {Adult, African Continental Ancestry Group, Age of Onset, Aged, Asian Continental Ancestry Group, Brain Ischemia, Chromosomes, Human, Pair 10, Computer Simulation, DNA, Intergenic, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Serine Endopeptidases, Stroke}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.115.011328}, author = {Cheng, Yu-Ching and Stanne, Tara M and Giese, Anne-Katrin and Ho, Weang Kee and Traylor, Matthew and Amouyel, Philippe and Holliday, Elizabeth G and Malik, Rainer and Xu, Huichun and Kittner, Steven J and Cole, John W and O{\textquoteright}Connell, Jeffrey R and Danesh, John and Rasheed, Asif and Zhao, Wei and Engelter, Stefan and Grond-Ginsbach, Caspar and Kamatani, Yoichiro and Lathrop, Mark and Leys, Didier and Thijs, Vincent and Metso, Tiina M and Tatlisumak, Turgut and Pezzini, Alessandro and Parati, Eugenio A and Norrving, Bo and Bevan, Steve and Rothwell, Peter M and Sudlow, Cathie and Slowik, Agnieszka and Lindgren, Arne and Walters, Matthew R and Jannes, Jim and Shen, Jess and Crosslin, David and Doheny, Kimberly and Laurie, Cathy C and Kanse, Sandip M and Bis, Joshua C and Fornage, Myriam and Mosley, Thomas H and Hopewell, Jemma C and Strauch, Konstantin and M{\"u}ller-Nurasyid, Martina and Gieger, Christian and Waldenberger, Melanie and Peters, Annette and Meisinger, Christine and Ikram, M Arfan and Longstreth, W T and Meschia, James F and Seshadri, Sudha and Sharma, Pankaj and Worrall, Bradford and Jern, Christina and Levi, Christopher and Dichgans, Martin and Boncoraglio, Giorgio B and Markus, Hugh S and Debette, Stephanie and Rolfs, Arndt and Saleheen, Danish and Mitchell, Braxton D} } @article {7146, title = {Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {22-39}, abstract = {

White blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in production, differentiation, or clearance of particular WBC lineages (myeloid, lymphoid) and also potentially inform the genetic basis of autoimmune, allergic, and blood diseases. We performed an exome array-based meta-analysis of total WBC and subtype counts (neutrophils, monocytes, lymphocytes, basophils, and eosinophils) in a multi-ancestry discovery and replication sample of~\~{}157,622 individuals from 25 studies. We identified 16 common variants (8 of which were coding variants) associated with one or more WBC traits, the majority of which are pleiotropically associated with autoimmune diseases. Based on functional annotation, these loci included genes encoding surface markers of myeloid, lymphoid, or hematopoietic stem cell differentiation (CD69, CD33, CD87), transcription factors regulating lineage specification during hematopoiesis (ASXL1, IRF8, IKZF1, JMJD1C, ETS2-PSMG1), and molecules involved in neutrophil clearance/apoptosis (C10orf54, LTA), adhesion (TNXB), or centrosome and microtubule structure/function (KIF9, TUBD1). Together with recent reports of somatic ASXL1 mutations among individuals with idiopathic cytopenias or clonal hematopoiesis of undetermined significance, the identification of a common regulatory 3{\textquoteright} UTR variant of ASXL1 suggests that both germline and somatic ASXL1 mutations contribute to lower blood counts in otherwise asymptomatic individuals. These association results shed light on genetic mechanisms that regulate circulating WBC counts and suggest a prominent shared genetic architecture with inflammatory and autoimmune diseases.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.003}, author = {Tajuddin, Salman M and Schick, Ursula M and Eicher, John D and Chami, Nathalie and Giri, Ayush and Brody, Jennifer A and Hill, W David and Kacprowski, Tim and Li, Jin and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Mihailov, Evelin and O{\textquoteright}Donoghue, Michelle L and Pankratz, Nathan and Pazoki, Raha and Polfus, Linda M and Smith, Albert Vernon and Schurmann, Claudia and Vacchi-Suzzi, Caterina and Waterworth, Dawn M and Evangelou, Evangelos and Yanek, Lisa R and Burt, Amber and Chen, Ming-Huei and van Rooij, Frank J A and Floyd, James S and Greinacher, Andreas and Harris, Tamara B and Highland, Heather M and Lange, Leslie A and Liu, Yongmei and M{\"a}gi, Reedik and Nalls, Mike A and Mathias, Rasika A and Nickerson, Deborah A and Nikus, Kjell and Starr, John M and Tardif, Jean-Claude and Tzoulaki, Ioanna and Velez Edwards, Digna R and Wallentin, Lars and Bartz, Traci M and Becker, Lewis C and Denny, Joshua C and Raffield, Laura M and Rioux, John D and Friedrich, Nele and Fornage, Myriam and Gao, He and Hirschhorn, Joel N and Liewald, David C M and Rich, Stephen S and Uitterlinden, Andre and Bastarache, Lisa and Becker, Diane M and Boerwinkle, Eric and de Denus, Simon and Bottinger, Erwin P and Hayward, Caroline and Hofman, Albert and Homuth, Georg and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Lu, Yingchang and Metspalu, Andres and O{\textquoteright}Donnell, Chris J and Quarells, Rakale C and Richard, Melissa and Torstenson, Eric S and Taylor, Kent D and Vergnaud, Anne-Claire and Zonderman, Alan B and Crosslin, David R and Deary, Ian J and D{\"o}rr, Marcus and Elliott, Paul and Evans, Michele K and Gudnason, Vilmundur and K{\"a}h{\"o}nen, Mika and Psaty, Bruce M and Rotter, Jerome I and Slater, Andrew J and Dehghan, Abbas and White, Harvey D and Ganesh, Santhi K and Loos, Ruth J F and Esko, T{\~o}nu and Faraday, Nauder and Wilson, James G and Cushman, Mary and Johnson, Andrew D and Edwards, Todd L and Zakai, Neil A and Lettre, Guillaume and Reiner, Alex P and Auer, Paul L} } @article {7264, title = {Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.}, journal = {Nat Genet}, volume = {48}, year = {2016}, month = {2016 Oct}, pages = {1162-70}, abstract = {

Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.

}, issn = {1546-1718}, doi = {10.1038/ng.3660}, author = {Liu, Chunyu and Kraja, Aldi T and Smith, Jennifer A and Brody, Jennifer A and Franceschini, Nora and Bis, Joshua C and Rice, Kenneth and Morrison, Alanna C and Lu, Yingchang and Weiss, Stefan and Guo, Xiuqing and Palmas, Walter and Martin, Lisa W and Chen, Yii-Der Ida and Surendran, Praveen and Drenos, Fotios and Cook, James P and Auer, Paul L and Chu, Audrey Y and Giri, Ayush and Zhao, Wei and Jakobsdottir, Johanna and Lin, Li-An and Stafford, Jeanette M and Amin, Najaf and Mei, Hao and Yao, Jie and Voorman, Arend and Larson, Martin G and Grove, Megan L and Smith, Albert V and Hwang, Shih-Jen and Chen, Han and Huan, Tianxiao and Kosova, Gulum and Stitziel, Nathan O and Kathiresan, Sekar and Samani, Nilesh and Schunkert, Heribert and Deloukas, Panos and Li, Man and Fuchsberger, Christian and Pattaro, Cristian and Gorski, Mathias and Kooperberg, Charles and Papanicolaou, George J and Rossouw, Jacques E and Faul, Jessica D and Kardia, Sharon L R and Bouchard, Claude and Raffel, Leslie J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Vasan, Ramachandran S and O{\textquoteright}Donnell, Christopher J and Taylor, Kent D and Liu, Kiang and Bottinger, Erwin P and Gottesman, Omri and Daw, E Warwick and Giulianini, Franco and Ganesh, Santhi and Salfati, Elias and Harris, Tamara B and Launer, Lenore J and D{\"o}rr, Marcus and Felix, Stephan B and Rettig, Rainer and V{\"o}lzke, Henry and Kim, Eric and Lee, Wen-Jane and Lee, I-Te and Sheu, Wayne H-H and Tsosie, Krystal S and Edwards, Digna R Velez and Liu, Yongmei and Correa, Adolfo and Weir, David R and V{\"o}lker, Uwe and Ridker, Paul M and Boerwinkle, Eric and Gudnason, Vilmundur and Reiner, Alexander P and van Duijn, Cornelia M and Borecki, Ingrid B and Edwards, Todd L and Chakravarti, Aravinda and Rotter, Jerome I and Psaty, Bruce M and Loos, Ruth J F and Fornage, Myriam and Ehret, Georg B and Newton-Cheh, Christopher and Levy, Daniel and Chasman, Daniel I} } @article {7139, title = {Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {40-55}, abstract = {

Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets{\textquoteright} important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.005}, author = {Eicher, John D and Chami, Nathalie and Kacprowski, Tim and Nomura, Akihiro and Chen, Ming-Huei and Yanek, Lisa R and Tajuddin, Salman M and Schick, Ursula M and Slater, Andrew J and Pankratz, Nathan and Polfus, Linda and Schurmann, Claudia and Giri, Ayush and Brody, Jennifer A and Lange, Leslie A and Manichaikul, Ani and Hill, W David and Pazoki, Raha and Elliot, Paul and Evangelou, Evangelos and Tzoulaki, Ioanna and Gao, He and Vergnaud, Anne-Claire and Mathias, Rasika A and Becker, Diane M and Becker, Lewis C and Burt, Amber and Crosslin, David R and Lyytik{\"a}inen, Leo-Pekka and Nikus, Kjell and Hernesniemi, Jussi and K{\"a}h{\"o}nen, Mika and Raitoharju, Emma and Mononen, Nina and Raitakari, Olli T and Lehtim{\"a}ki, Terho and Cushman, Mary and Zakai, Neil A and Nickerson, Deborah A and Raffield, Laura M and Quarells, Rakale and Willer, Cristen J and Peloso, Gina M and Abecasis, Goncalo R and Liu, Dajiang J and Deloukas, Panos and Samani, Nilesh J and Schunkert, Heribert and Erdmann, Jeanette and Fornage, Myriam and Richard, Melissa and Tardif, Jean-Claude and Rioux, John D and Dub{\'e}, Marie-Pierre and de Denus, Simon and Lu, Yingchang and Bottinger, Erwin P and Loos, Ruth J F and Smith, Albert Vernon and Harris, Tamara B and Launer, Lenore J and Gudnason, Vilmundur and Velez Edwards, Digna R and Torstenson, Eric S and Liu, Yongmei and Tracy, Russell P and Rotter, Jerome I and Rich, Stephen S and Highland, Heather M and Boerwinkle, Eric and Li, Jin and Lange, Ethan and Wilson, James G and Mihailov, Evelin and M{\"a}gi, Reedik and Hirschhorn, Joel and Metspalu, Andres and Esko, T{\~o}nu and Vacchi-Suzzi, Caterina and Nalls, Mike A and Zonderman, Alan B and Evans, Michele K and Engstr{\"o}m, Gunnar and Orho-Melander, Marju and Melander, Olle and O{\textquoteright}Donoghue, Michelle L and Waterworth, Dawn M and Wallentin, Lars and White, Harvey D and Floyd, James S and Bartz, Traci M and Rice, Kenneth M and Psaty, Bruce M and Starr, J M and Liewald, David C M and Hayward, Caroline and Deary, Ian J and Greinacher, Andreas and V{\"o}lker, Uwe and Thiele, Thomas and V{\"o}lzke, Henry and van Rooij, Frank J A and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Dehghan, Abbas and Edwards, Todd L and Ganesh, Santhi K and Kathiresan, Sekar and Faraday, Nauder and Auer, Paul L and Reiner, Alex P and Lettre, Guillaume and Johnson, Andrew D} } @article {7141, title = {Trans-ethnic Meta-analysis and Functional Annotation Illuminates the~Genetic Architecture of Fasting Glucose and Insulin.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {56-75}, abstract = {

Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.006}, author = {Liu, Ching-Ti and Raghavan, Sridharan and Maruthur, Nisa and Kabagambe, Edmond Kato and Hong, Jaeyoung and Ng, Maggie C Y and Hivert, Marie-France and Lu, Yingchang and An, Ping and Bentley, Amy R and Drolet, Anne M and Gaulton, Kyle J and Guo, Xiuqing and Armstrong, Loren L and Irvin, Marguerite R and Li, Man and Lipovich, Leonard and Rybin, Denis V and Taylor, Kent D and Agyemang, Charles and Palmer, Nicholette D and Cade, Brian E and Chen, Wei-Min and Dauriz, Marco and Delaney, Joseph A C and Edwards, Todd L and Evans, Daniel S and Evans, Michele K and Lange, Leslie A and Leong, Aaron and Liu, Jingmin and Liu, Yongmei and Nayak, Uma and Patel, Sanjay R and Porneala, Bianca C and Rasmussen-Torvik, Laura J and Snijder, Marieke B and Stallings, Sarah C and Tanaka, Toshiko and Yanek, Lisa R and Zhao, Wei and Becker, Diane M and Bielak, Lawrence F and Biggs, Mary L and Bottinger, Erwin P and Bowden, Donald W and Chen, Guanjie and Correa, Adolfo and Couper, David J and Crawford, Dana C and Cushman, Mary and Eicher, John D and Fornage, Myriam and Franceschini, Nora and Fu, Yi-Ping and Goodarzi, Mark O and Gottesman, Omri and Hara, Kazuo and Harris, Tamara B and Jensen, Richard A and Johnson, Andrew D and Jhun, Min A and Karter, Andrew J and Keller, Margaux F and Kho, Abel N and Kizer, Jorge R and Krauss, Ronald M and Langefeld, Carl D and Li, Xiaohui and Liang, Jingling and Liu, Simin and Lowe, William L and Mosley, Thomas H and North, Kari E and Pacheco, Jennifer A and Peyser, Patricia A and Patrick, Alan L and Rice, Kenneth M and Selvin, Elizabeth and Sims, Mario and Smith, Jennifer A and Tajuddin, Salman M and Vaidya, Dhananjay and Wren, Mary P and Yao, Jie and Zhu, Xiaofeng and Ziegler, Julie T and Zmuda, Joseph M and Zonderman, Alan B and Zwinderman, Aeilko H and Adeyemo, Adebowale and Boerwinkle, Eric and Ferrucci, Luigi and Hayes, M Geoffrey and Kardia, Sharon L R and Miljkovic, Iva and Pankow, James S and Rotimi, Charles N and Sale, Mich{\`e}le M and Wagenknecht, Lynne E and Arnett, Donna K and Chen, Yii-Der Ida and Nalls, Michael A and Province, Michael A and Kao, W H Linda and Siscovick, David S and Psaty, Bruce M and Wilson, James G and Loos, Ruth J F and Dupuis, Jos{\'e}e and Rich, Stephen S and Florez, Jose C and Rotter, Jerome I and Morris, Andrew P and Meigs, James B} } @article {7340, title = {The complex genetics of gait speed: genome-wide meta-analysis approach.}, journal = {Aging (Albany NY)}, volume = {9}, year = {2017}, month = {2017 Jan 10}, pages = {209-246}, abstract = {

Emerging evidence suggests that the basis for variation in late-life mobility is attributable, in part, to genetic factors, which may become increasingly important with age. Our objective was to systematically assess the contribution of genetic variation to gait speed in older individuals. We conducted a meta-analysis of gait speed GWASs in 31,478 older adults from 17 cohorts of the CHARGE consortium, and validated our results in 2,588 older adults from 4 independent studies. We followed our initial discoveries with network and eQTL analysis of candidate signals in tissues. The meta-analysis resulted in a list of 536 suggestive genome wide significant SNPs in or near 69 genes. Further interrogation with Pathway Analysis placed gait speed as a polygenic complex trait in five major networks. Subsequent eQTL analysis revealed several SNPs significantly associated with the expression of PRSS16, WDSUB1 and PTPRT, which in addition to the meta-analysis and pathway suggested that genetic effects on gait speed may occur through synaptic function and neuronal development pathways. No genome-wide significant signals for gait speed were identified from this moderately large sample of older adults, suggesting that more refined physical function phenotypes will be needed to identify the genetic basis of gait speed in aging.

}, issn = {1945-4589}, doi = {10.18632/aging.101151}, author = {Ben-Avraham, Dan and Karasik, David and Verghese, Joe and Lunetta, Kathryn L and Smith, Jennifer A and Eicher, John D and Vered, Rotem and Deelen, Joris and Arnold, Alice M and Buchman, Aron S and Tanaka, Toshiko and Faul, Jessica D and Nethander, Maria and Fornage, Myriam and Adams, Hieab H and Matteini, Amy M and Callisaya, Michele L and Smith, Albert V and Yu, Lei and De Jager, Philip L and Evans, Denis A and Gudnason, Vilmundur and Hofman, Albert and Pattie, Alison and Corley, Janie and Launer, Lenore J and Knopman, Davis S and Parimi, Neeta and Turner, Stephen T and Bandinelli, Stefania and Beekman, Marian and Gutman, Danielle and Sharvit, Lital and Mooijaart, Simon P and Liewald, David C and Houwing-Duistermaat, Jeanine J and Ohlsson, Claes and Moed, Matthijs and Verlinden, Vincent J and Mellstr{\"o}m, Dan and van der Geest, Jos N and Karlsson, Magnus and Hernandez, Dena and McWhirter, Rebekah and Liu, Yongmei and Thomson, Russell and Tranah, Gregory J and Uitterlinden, Andr{\'e} G and Weir, David R and Zhao, Wei and Starr, John M and Johnson, Andrew D and Ikram, M Arfan and Bennett, David A and Cummings, Steven R and Deary, Ian J and Harris, Tamara B and Kardia, Sharon L R and Mosley, Thomas H and Srikanth, Velandai K and Windham, Beverly G and Newman, Ann B and Walston, Jeremy D and Davies, Gail and Evans, Daniel S and Slagboom, Eline P and Ferrucci, Luigi and Kiel, Douglas P and Murabito, Joanne M and Atzmon, Gil} } @article {7352, title = {Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 Apr 21}, pages = {e1006719}, abstract = {

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5{\texttimes}10-8: seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (<5\%). In the trans-ethnic fine mapping of 47 BMI loci and 27 WHRadjBMI loci that were locus-wide significant (P < 0.05 adjusted for effective number of variants per locus) from the African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMI loci contained <= 20 variants in the credible sets that jointly account for 99\% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMI including up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006719}, author = {Ng, Maggie C Y and Graff, Mariaelisa and Lu, Yingchang and Justice, Anne E and Mudgal, Poorva and Liu, Ching-Ti and Young, Kristin and Yanek, Lisa R and Feitosa, Mary F and Wojczynski, Mary K and Rand, Kristin and Brody, Jennifer A and Cade, Brian E and Dimitrov, Latchezar and Duan, Qing and Guo, Xiuqing and Lange, Leslie A and Nalls, Michael A and Okut, Hayrettin and Tajuddin, Salman M and Tayo, Bamidele O and Vedantam, Sailaja and Bradfield, Jonathan P and Chen, Guanjie and Chen, Wei-Min and Chesi, Alessandra and Irvin, Marguerite R and Padhukasahasram, Badri and Smith, Jennifer A and Zheng, Wei and Allison, Matthew A and Ambrosone, Christine B and Bandera, Elisa V and Bartz, Traci M and Berndt, Sonja I and Bernstein, Leslie and Blot, William J and Bottinger, Erwin P and Carpten, John and Chanock, Stephen J and Chen, Yii-Der Ida and Conti, David V and Cooper, Richard S and Fornage, Myriam and Freedman, Barry I and Garcia, Melissa and Goodman, Phyllis J and Hsu, Yu-Han H and Hu, Jennifer and Huff, Chad D and Ingles, Sue A and John, Esther M and Kittles, Rick and Klein, Eric and Li, Jin and McKnight, Barbara and Nayak, Uma and Nemesure, Barbara and Ogunniyi, Adesola and Olshan, Andrew and Press, Michael F and Rohde, Rebecca and Rybicki, Benjamin A and Salako, Babatunde and Sanderson, Maureen and Shao, Yaming and Siscovick, David S and Stanford, Janet L and Stevens, Victoria L and Stram, Alex and Strom, Sara S and Vaidya, Dhananjay and Witte, John S and Yao, Jie and Zhu, Xiaofeng and Ziegler, Regina G and Zonderman, Alan B and Adeyemo, Adebowale and Ambs, Stefan and Cushman, Mary and Faul, Jessica D and Hakonarson, Hakon and Levin, Albert M and Nathanson, Katherine L and Ware, Erin B and Weir, David R and Zhao, Wei and Zhi, Degui and Arnett, Donna K and Grant, Struan F A and Kardia, Sharon L R and Oloapde, Olufunmilayo I and Rao, D C and Rotimi, Charles N and Sale, Mich{\`e}le M and Williams, L Keoki and Zemel, Babette S and Becker, Diane M and Borecki, Ingrid B and Evans, Michele K and Harris, Tamara B and Hirschhorn, Joel N and Li, Yun and Patel, Sanjay R and Psaty, Bruce M and Rotter, Jerome I and Wilson, James G and Bowden, Donald W and Cupples, L Adrienne and Haiman, Christopher A and Loos, Ruth J F and North, Kari E} } @article {7346, title = {Discovery and fine-mapping of loci associated with monounsaturated fatty acids through trans-ethnic meta-analysis in Chinese and European populations.}, journal = {J Lipid Res}, year = {2017}, month = {2017 Mar 15}, abstract = {

Monounsaturated fatty acids (MUFAs) are unsaturated fatty acids with one double bond and are derived from endogenous synthesis and dietary intake. Accumulating evidence has suggested that plasma and erythrocyte MUFA levels were associated with cardiometabolic disorders including cardiovascular disease (CVD), type 2 diabetes (T2D) and metabolic syndrome (MS). Previous genome-wide association studies (GWAS) have identified seven loci for plasma and erythrocyte palmitoleic acid and oleic acid levels in populations of European origin. To identify additional MUFA-associated loci and the potential causal variant at each locus, we performed ethnic-specific GWAS meta-analyses and trans-ethnic meta-analyses in over 15,000 participants of Chinese- and European-ancestry. We identified novel genome-wide significant associations for vaccenic acid at FADS1/2 and PKD2L1 [log10(Bayes factor)>=8.07] and for gondoic acid at FADS1/2 and GCKR [log10(Bayes factor)>=61619;6.22], and also observed improved fine-mapping resolutions at FADS1/2 and GCKR loci. The greatest improvement was observed at GCKR, where the number of variants in the 99\% credible set was reduced from 16 (covering ~95kb) to five (covering ~20kb, including a missense variant rs1260326) after trans-ethnic meta-analysis. We also confirmed the previously reported associations of PKD2L1, FADS1/2, GCKR and HIF1AN with palmitoleic acid and of FADS1/2 and LPCAT3 with oleic acid in the Chinese-specific GWAS and trans-ethnic meta-analyses. Pathway-based analyses suggested that the identified loci were enriched in unsaturated fatty acids metabolism and signaling pathways. Our findings provided novel insight into the genetic basis relevant to MUFA metabolism and biology.

}, issn = {1539-7262}, doi = {10.1194/jlr.P071860}, author = {Hu, Yao and Tanaka, Toshiko and Zhu, Jingwen and Guan, Weihua and Wu, Jason H Y and Psaty, Bruce M and McKnight, Barbara and King, Irena B and Sun, Qi and Richard, Melissa and Manichaikul, Ani and Frazier-Wood, Alexis C and Kabagambe, Edmond K and Hopkins, Paul N and Ordovas, Jose M and Ferrucci, Luigi and Bandinelli, Stefania and Arnett, Donna K and Chen, Yii-der I and Liang, Shuang and Siscovick, David S and Tsai, Michael Y and Rich, Stephen S and Fornage, Myriam and Hu, Frank B and Rimm, Eric B and Jensen, Majken K and Lemaitre, Rozenn N and Mozaffarian, Dariush and Steffen, Lyn M and Morris, Andrew P and Li, Huaixing and Lin, Xu} } @article {7583, title = {DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation.}, journal = {Am J Hum Genet}, volume = {101}, year = {2017}, month = {2017 Dec 07}, pages = {888-902}, abstract = {

Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0~{\texttimes} 10-7; replication: N = 7,182, p~<~1.6~{\texttimes} 10-3). The replicated methylation sites are heritable (h2 > 30\%) and independent of known BP genetic variants, explaining an additional 1.4\% and 2.0\% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.

}, keywords = {Aged, Blood Pressure, CpG Islands, Cross-Sectional Studies, DNA Methylation, Epigenesis, Genetic, Genetic Variation, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Middle Aged, Nerve Tissue Proteins, Quantitative Trait Loci, Tetraspanins}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2017.09.028}, author = {Richard, Melissa A and Huan, Tianxiao and Ligthart, Symen and Gondalia, Rahul and Jhun, Min A and Brody, Jennifer A and Irvin, Marguerite R and Marioni, Riccardo and Shen, Jincheng and Tsai, Pei-Chien and Montasser, May E and Jia, Yucheng and Syme, Catriona and Salfati, Elias L and Boerwinkle, Eric and Guan, Weihua and Mosley, Thomas H and Bressler, Jan and Morrison, Alanna C and Liu, Chunyu and Mendelson, Michael M and Uitterlinden, Andr{\'e} G and van Meurs, Joyce B and Franco, Oscar H and Zhang, Guosheng and Li, Yun and Stewart, James D and Bis, Joshua C and Psaty, Bruce M and Chen, Yii-Der Ida and Kardia, Sharon L R and Zhao, Wei and Turner, Stephen T and Absher, Devin and Aslibekyan, Stella and Starr, John M and McRae, Allan F and Hou, Lifang and Just, Allan C and Schwartz, Joel D and Vokonas, Pantel S and Menni, Cristina and Spector, Tim D and Shuldiner, Alan and Damcott, Coleen M and Rotter, Jerome I and Palmas, Walter and Liu, Yongmei and Paus, Tom{\'a}{\v s} and Horvath, Steve and O{\textquoteright}Connell, Jeffrey R and Guo, Xiuqing and Pausova, Zdenka and Assimes, Themistocles L and Sotoodehnia, Nona and Smith, Jennifer A and Arnett, Donna K and Deary, Ian J and Baccarelli, Andrea A and Bell, Jordana T and Whitsel, Eric and Dehghan, Abbas and Levy, Daniel and Fornage, Myriam} } @article {7573, title = {Exome-wide association study of plasma lipids in >300,000 individuals.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Dec}, pages = {1758-1766}, abstract = {

We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.

}, keywords = {Coronary Artery Disease, Diabetes Mellitus, Type 2, Exome, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Genotype, Humans, Lipids, Macular Degeneration, Phenotype, Risk Factors}, issn = {1546-1718}, doi = {10.1038/ng.3977}, author = {Liu, Dajiang J and Peloso, Gina M and Yu, Haojie and Butterworth, Adam S and Wang, Xiao and Mahajan, Anubha and Saleheen, Danish and Emdin, Connor and Alam, Dewan and Alves, Alexessander Couto and Amouyel, Philippe and Di Angelantonio, Emanuele and Arveiler, Dominique and Assimes, Themistocles L and Auer, Paul L and Baber, Usman and Ballantyne, Christie M and Bang, Lia E and Benn, Marianne and Bis, Joshua C and Boehnke, Michael and Boerwinkle, Eric and Bork-Jensen, Jette and Bottinger, Erwin P and Brandslund, Ivan and Brown, Morris and Busonero, Fabio and Caulfield, Mark J and Chambers, John C and Chasman, Daniel I and Chen, Y Eugene and Chen, Yii-Der Ida and Chowdhury, Rajiv and Christensen, Cramer and Chu, Audrey Y and Connell, John M and Cucca, Francesco and Cupples, L Adrienne and Damrauer, Scott M and Davies, Gail and Deary, Ian J and Dedoussis, George and Denny, Joshua C and Dominiczak, Anna and Dub{\'e}, Marie-Pierre and Ebeling, Tapani and Eiriksdottir, Gudny and Esko, T{\~o}nu and Farmaki, Aliki-Eleni and Feitosa, Mary F and Ferrario, Marco and Ferrieres, Jean and Ford, Ian and Fornage, Myriam and Franks, Paul W and Frayling, Timothy M and Frikke-Schmidt, Ruth and Fritsche, Lars G and Frossard, Philippe and Fuster, Valentin and Ganesh, Santhi K and Gao, Wei and Garcia, Melissa E and Gieger, Christian and Giulianini, Franco and Goodarzi, Mark O and Grallert, Harald and Grarup, Niels and Groop, Leif and Grove, Megan L and Gudnason, Vilmundur and Hansen, Torben and Harris, Tamara B and Hayward, Caroline and Hirschhorn, Joel N and Holmen, Oddgeir L and Huffman, Jennifer and Huo, Yong and Hveem, Kristian and Jabeen, Sehrish and Jackson, Anne U and Jakobsdottir, Johanna and Jarvelin, Marjo-Riitta and Jensen, Gorm B and J{\o}rgensen, Marit E and Jukema, J Wouter and Justesen, Johanne M and Kamstrup, Pia R and Kanoni, Stavroula and Karpe, Fredrik and Kee, Frank and Khera, Amit V and Klarin, Derek and Koistinen, Heikki A and Kooner, Jaspal S and Kooperberg, Charles and Kuulasmaa, Kari and Kuusisto, Johanna and Laakso, Markku and Lakka, Timo and Langenberg, Claudia and Langsted, Anne and Launer, Lenore J and Lauritzen, Torsten and Liewald, David C M and Lin, Li An and Linneberg, Allan and Loos, Ruth J F and Lu, Yingchang and Lu, Xiangfeng and M{\"a}gi, Reedik and M{\"a}larstig, Anders and Manichaikul, Ani and Manning, Alisa K and M{\"a}ntyselk{\"a}, Pekka and Marouli, Eirini and Masca, Nicholas G D and Maschio, Andrea and Meigs, James B and Melander, Olle and Metspalu, Andres and Morris, Andrew P and Morrison, Alanna C and Mulas, Antonella and M{\"u}ller-Nurasyid, Martina and Munroe, Patricia B and Neville, Matt J and Nielsen, Jonas B and Nielsen, Sune F and Nordestgaard, B{\o}rge G and Ordovas, Jose M and Mehran, Roxana and O{\textquoteright}Donnell, Christoper J and Orho-Melander, Marju and Molony, Cliona M and Muntendam, Pieter and Padmanabhan, Sandosh and Palmer, Colin N A and Pasko, Dorota and Patel, Aniruddh P and Pedersen, Oluf and Perola, Markus and Peters, Annette and Pisinger, Charlotta and Pistis, Giorgio and Polasek, Ozren and Poulter, Neil and Psaty, Bruce M and Rader, Daniel J and Rasheed, Asif and Rauramaa, Rainer and Reilly, Dermot F and Reiner, Alex P and Renstrom, Frida and Rich, Stephen S and Ridker, Paul M and Rioux, John D and Robertson, Neil R and Roden, Dan M and Rotter, Jerome I and Rudan, Igor and Salomaa, Veikko and Samani, Nilesh J and Sanna, Serena and Sattar, Naveed and Schmidt, Ellen M and Scott, Robert A and Sever, Peter and Sevilla, Raquel S and Shaffer, Christian M and Sim, Xueling and Sivapalaratnam, Suthesh and Small, Kerrin S and Smith, Albert V and Smith, Blair H and Somayajula, Sangeetha and Southam, Lorraine and Spector, Timothy D and Speliotes, Elizabeth K and Starr, John M and Stirrups, Kathleen E and Stitziel, Nathan and Strauch, Konstantin and Stringham, Heather M and Surendran, Praveen and Tada, Hayato and Tall, Alan R and Tang, Hua and Tardif, Jean-Claude and Taylor, Kent D and Trompet, Stella and Tsao, Philip S and Tuomilehto, Jaakko and Tybjaerg-Hansen, Anne and van Zuydam, Natalie R and Varbo, Anette and Varga, Tibor V and Virtamo, Jarmo and Waldenberger, Melanie and Wang, Nan and Wareham, Nick J and Warren, Helen R and Weeke, Peter E and Weinstock, Joshua and Wessel, Jennifer and Wilson, James G and Wilson, Peter W F and Xu, Ming and Yaghootkar, Hanieh and Young, Robin and Zeggini, Eleftheria and Zhang, He and Zheng, Neil S and Zhang, Weihua and Zhang, Yan and Zhou, Wei and Zhou, Yanhua and Zoledziewska, Magdalena and Howson, Joanna M M and Danesh, John and McCarthy, Mark I and Cowan, Chad A and Abecasis, Goncalo and Deloukas, Panos and Musunuru, Kiran and Willer, Cristen J and Kathiresan, Sekar} } @article {7463, title = {Fine mapping of QT interval regions in global populations refines previously identified QT interval loci and identifies signals unique to African and Hispanic descent populations.}, journal = {Heart Rhythm}, volume = {14}, year = {2017}, month = {2017 Apr}, pages = {572-580}, abstract = {

BACKGROUND: The electrocardiographically measured QT interval (QT) is heritable and its prolongation is an established risk factor for several cardiovascular diseases. Yet, most QT genetic studies have been performed in European ancestral populations, possibly reducing their global relevance.

OBJECTIVE: To leverage diversity and improve biological insight, we fine mapped 16 of the 35 previously identified QT loci (46\%) in populations of African American (n = 12,410) and Hispanic/Latino (n = 14,837) ancestry.

METHODS: Racial/ethnic-specific multiple linear regression analyses adjusted for heart rate and clinical covariates were examined separately and in combination after inverse-variance weighted trans-ethnic meta-analysis.

RESULTS: The 16 fine-mapped QT loci included on the Illumina Metabochip represented 21 independent signals, of which 16 (76\%) were significantly (P-value<=9.1{\texttimes}10(-5)) associated with QT. Through sequential conditional analysis we also identified three trans-ethnic novel SNPs at ATP1B1, SCN5A-SCN10A, and KCNQ1 and three Hispanic/Latino-specific novel SNPs at NOS1AP and SCN5A-SCN10A (two novel SNPs) with evidence of associations with QT independent of previous identified GWAS lead SNPs. Linkage disequilibrium patterns helped to narrow the region likely to contain the functional variants at several loci, including NOS1AP, USP50-TRPM7, and PRKCA, although intervals surrounding SLC35F1-PLN and CNOT1 remained broad in size (>100 kb). Finally, bioinformatics-based functional characterization suggested a regulatory function in cardiac tissues for the majority of independent signals that generalized and the novel SNPs.

CONCLUSION: Our findings suggest that a majority of identified SNPs implicate gene regulatory dysfunction in QT prolongation, that the same loci influence variation in QT across global populations, and that additional, novel, population-specific QT signals exist.

}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2016.12.021}, author = {Avery, Christy L and Wassel, Christina L and Richard, Melissa A and Highland, Heather M and Bien, Stephanie and Zubair, Niha and Soliman, Elsayed Z and Fornage, Myriam and Bielinski, Suzette J and Tao, Ran and Seyerle, Amanda A and Shah, Sanjiv J and Lloyd-Jones, Donald M and Buyske, Steven and Rotter, Jerome I and Post, Wendy S and Rich, Stephen S and Hindorff, Lucia A and Jeff, Janina M and Shohet, Ralph V and Sotoodehnia, Nona and Lin, Dan Yu and Whitsel, Eric A and Peters, Ulrike and Haiman, Christopher A and Crawford, Dana C and Kooperberg, Charles and North, Kari E} } @article {7364, title = {Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis.}, journal = {Am J Hum Genet}, volume = {100}, year = {2017}, month = {2017 Jan 05}, pages = {51-63}, abstract = {

Genome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in~vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.11.016}, author = {van Rooij, Frank J A and Qayyum, Rehan and Smith, Albert V and Zhou, Yi and Trompet, Stella and Tanaka, Toshiko and Keller, Margaux F and Chang, Li-Ching and Schmidt, Helena and Yang, Min-Lee and Chen, Ming-Huei and Hayes, James and Johnson, Andrew D and Yanek, Lisa R and Mueller, Christian and Lange, Leslie and Floyd, James S and Ghanbari, Mohsen and Zonderman, Alan B and Jukema, J Wouter and Hofman, Albert and van Duijn, Cornelia M and Desch, Karl C and Saba, Yasaman and Ozel, Ayse B and Snively, Beverly M and Wu, Jer-Yuarn and Schmidt, Reinhold and Fornage, Myriam and Klein, Robert J and Fox, Caroline S and Matsuda, Koichi and Kamatani, Naoyuki and Wild, Philipp S and Stott, David J and Ford, Ian and Slagboom, P Eline and Yang, Jaden and Chu, Audrey Y and Lambert, Amy J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofer, Edith and Ginsburg, David and Hu, Bella and Keating, Brendan and Schick, Ursula M and Brody, Jennifer A and Li, Jun Z and Chen, Zhao and Zeller, Tanja and Guralnik, Jack M and Chasman, Daniel I and Peters, Luanne L and Kubo, Michiaki and Becker, Diane M and Li, Jin and Eiriksdottir, Gudny and Rotter, Jerome I and Levy, Daniel and Grossmann, Vera and Patel, Kushang V and Chen, Chien-Hsiun and Ridker, Paul M and Tang, Hua and Launer, Lenore J and Rice, Kenneth M and Li-Gao, Ruifang and Ferrucci, Luigi and Evans, Michelle K and Choudhuri, Avik and Trompouki, Eirini and Abraham, Brian J and Yang, Song and Takahashi, Atsushi and Kamatani, Yoichiro and Kooperberg, Charles and Harris, Tamara B and Jee, Sun Ha and Coresh, Josef and Tsai, Fuu-Jen and Longo, Dan L and Chen, Yuan-Tsong and Felix, Janine F and Yang, Qiong and Psaty, Bruce M and Boerwinkle, Eric and Becker, Lewis C and Mook-Kanamori, Dennis O and Wilson, James G and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J and Dehghan, Abbas and Cupples, L Adrienne and Nalls, Michael A and Morris, Andrew P and Okada, Yukinori and Reiner, Alexander P and Zon, Leonard I and Ganesh, Santhi K} } @article {7596, title = {Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.}, journal = {PLoS Med}, volume = {14}, year = {2017}, month = {2017 Sep}, pages = {e1002383}, abstract = {

BACKGROUND: Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes.

METHODS \& FINDINGS: Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95\% CI 1.04-1.06, per HbA1c-raising allele, p = 3 {\texttimes} 10-29); whereas GS-E was not (OR = 1.00, 95\% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11\%) was associated with an absolute decrease in HbA1c of 0.81\%-units (95\% CI 0.66-0.96) per allele in hemizygous men, and 0.68\%-units (95\% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2\% (N = 0.65 million, 95\% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants.

CONCLUSIONS: As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.

}, keywords = {Diabetes Mellitus, Type 2, Genetic Variation, Genome-Wide Association Study, Glycated Hemoglobin A, Humans, Phenotype, Risk}, issn = {1549-1676}, doi = {10.1371/journal.pmed.1002383}, author = {Wheeler, Eleanor and Leong, Aaron and Liu, Ching-Ti and Hivert, Marie-France and Strawbridge, Rona J and Podmore, Clara and Li, Man and Yao, Jie and Sim, Xueling and Hong, Jaeyoung and Chu, Audrey Y and Zhang, Weihua and Wang, Xu and Chen, Peng and Maruthur, Nisa M and Porneala, Bianca C and Sharp, Stephen J and Jia, Yucheng and Kabagambe, Edmond K and Chang, Li-Ching and Chen, Wei-Min and Elks, Cathy E and Evans, Daniel S and Fan, Qiao and Giulianini, Franco and Go, Min Jin and Hottenga, Jouke-Jan and Hu, Yao and Jackson, Anne U and Kanoni, Stavroula and Kim, Young Jin and Kleber, Marcus E and Ladenvall, Claes and Lecoeur, C{\'e}cile and Lim, Sing-Hui and Lu, Yingchang and Mahajan, Anubha and Marzi, Carola and Nalls, Mike A and Navarro, Pau and Nolte, Ilja M and Rose, Lynda M and Rybin, Denis V and Sanna, Serena and Shi, Yuan and Stram, Daniel O and Takeuchi, Fumihiko and Tan, Shu Pei and van der Most, Peter J and van Vliet-Ostaptchouk, Jana V and Wong, Andrew and Yengo, Loic and Zhao, Wanting and Goel, Anuj and Martinez Larrad, Maria Teresa and Radke, D{\"o}rte and Salo, Perttu and Tanaka, Toshiko and van Iperen, Erik P A and Abecasis, Goncalo and Afaq, Saima and Alizadeh, Behrooz Z and Bertoni, Alain G and Bonnefond, Am{\'e}lie and B{\"o}ttcher, Yvonne and Bottinger, Erwin P and Campbell, Harry and Carlson, Olga D and Chen, Chien-Hsiun and Cho, Yoon Shin and Garvey, W Timothy and Gieger, Christian and Goodarzi, Mark O and Grallert, Harald and Hamsten, Anders and Hartman, Catharina A and Herder, Christian and Hsiung, Chao Agnes and Huang, Jie and Igase, Michiya and Isono, Masato and Katsuya, Tomohiro and Khor, Chiea-Chuen and Kiess, Wieland and Kohara, Katsuhiko and Kovacs, Peter and Lee, Juyoung and Lee, Wen-Jane and Lehne, Benjamin and Li, Huaixing and Liu, Jianjun and Lobbens, Stephane and Luan, Jian{\textquoteright}an and Lyssenko, Valeriya and Meitinger, Thomas and Miki, Tetsuro and Miljkovic, Iva and Moon, Sanghoon and Mulas, Antonella and M{\"u}ller, Gabriele and M{\"u}ller-Nurasyid, Martina and Nagaraja, Ramaiah and Nauck, Matthias and Pankow, James S and Polasek, Ozren and Prokopenko, Inga and Ramos, Paula S and Rasmussen-Torvik, Laura and Rathmann, Wolfgang and Rich, Stephen S and Robertson, Neil R and Roden, Michael and Roussel, Ronan and Rudan, Igor and Scott, Robert A and Scott, William R and Sennblad, Bengt and Siscovick, David S and Strauch, Konstantin and Sun, Liang and Swertz, Morris and Tajuddin, Salman M and Taylor, Kent D and Teo, Yik-Ying and Tham, Yih Chung and T{\"o}njes, Anke and Wareham, Nicholas J and Willemsen, Gonneke and Wilsgaard, Tom and Hingorani, Aroon D and Egan, Josephine and Ferrucci, Luigi and Hovingh, G Kees and Jula, Antti and Kivimaki, Mika and Kumari, Meena and Nj{\o}lstad, Inger and Palmer, Colin N A and Serrano R{\'\i}os, Manuel and Stumvoll, Michael and Watkins, Hugh and Aung, Tin and Bl{\"u}her, Matthias and Boehnke, Michael and Boomsma, Dorret I and Bornstein, Stefan R and Chambers, John C and Chasman, Daniel I and Chen, Yii-Der Ida and Chen, Yduan-Tsong and Cheng, Ching-Yu and Cucca, Francesco and de Geus, Eco J C and Deloukas, Panos and Evans, Michele K and Fornage, Myriam and Friedlander, Yechiel and Froguel, Philippe and Groop, Leif and Gross, Myron D and Harris, Tamara B and Hayward, Caroline and Heng, Chew-Kiat and Ingelsson, Erik and Kato, Norihiro and Kim, Bong-Jo and Koh, Woon-Puay and Kooner, Jaspal S and K{\"o}rner, Antje and Kuh, Diana and Kuusisto, Johanna and Laakso, Markku and Lin, Xu and Liu, Yongmei and Loos, Ruth J F and Magnusson, Patrik K E and M{\"a}rz, Winfried and McCarthy, Mark I and Oldehinkel, Albertine J and Ong, Ken K and Pedersen, Nancy L and Pereira, Mark A and Peters, Annette and Ridker, Paul M and Sabanayagam, Charumathi and Sale, Michele and Saleheen, Danish and Saltevo, Juha and Schwarz, Peter Eh and Sheu, Wayne H H and Snieder, Harold and Spector, Timothy D and Tabara, Yasuharu and Tuomilehto, Jaakko and van Dam, Rob M and Wilson, James G and Wilson, James F and Wolffenbuttel, Bruce H R and Wong, Tien Yin and Wu, Jer-Yuarn and Yuan, Jian-Min and Zonderman, Alan B and Soranzo, Nicole and Guo, Xiuqing and Roberts, David J and Florez, Jose C and Sladek, Robert and Dupuis, Jos{\'e}e and Morris, Andrew P and Tai, E-Shyong and Selvin, Elizabeth and Rotter, Jerome I and Langenberg, Claudia and Barroso, In{\^e}s and Meigs, James B} } @article {7373, title = {Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function.}, journal = {J Clin Invest}, volume = {127}, year = {2017}, month = {2017 May 01}, pages = {1798-1812}, abstract = {

BACKGROUND: Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function.

METHODS: A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function.

RESULTS: The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue.

CONCLUSION: The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies.

FUNDING: For detailed information per study, see Acknowledgments.

}, issn = {1558-8238}, doi = {10.1172/JCI84840}, author = {Wild, Philipp S and Felix, Janine F and Schillert, Arne and Teumer, Alexander and Chen, Ming-Huei and Leening, Maarten J G and V{\"o}lker, Uwe and Gro{\ss}mann, Vera and Brody, Jennifer A and Irvin, Marguerite R and Shah, Sanjiv J and Pramana, Setia and Lieb, Wolfgang and Schmidt, Reinhold and Stanton, Alice V and Malzahn, D{\"o}rthe and Smith, Albert Vernon and Sundstr{\"o}m, Johan and Minelli, Cosetta and Ruggiero, Daniela and Lyytik{\"a}inen, Leo-Pekka and Tiller, Daniel and Smith, J Gustav and Monnereau, Claire and Di Tullio, Marco R and Musani, Solomon K and Morrison, Alanna C and Pers, Tune H and Morley, Michael and Kleber, Marcus E and Aragam, Jayashri and Benjamin, Emelia J and Bis, Joshua C and Bisping, Egbert and Broeckel, Ulrich and Cheng, Susan and Deckers, Jaap W and del Greco M, Fabiola and Edelmann, Frank and Fornage, Myriam and Franke, Lude and Friedrich, Nele and Harris, Tamara B and Hofer, Edith and Hofman, Albert and Huang, Jie and Hughes, Alun D and K{\"a}h{\"o}nen, Mika and Investigators, Knhi and Kruppa, Jochen and Lackner, Karl J and Lannfelt, Lars and Laskowski, Rafael and Launer, Lenore J and Leosdottir, Margr{\'e}t and Lin, Honghuang and Lindgren, Cecilia M and Loley, Christina and MacRae, Calum A and Mascalzoni, Deborah and Mayet, Jamil and Medenwald, Daniel and Morris, Andrew P and M{\"u}ller, Christian and M{\"u}ller-Nurasyid, Martina and Nappo, Stefania and Nilsson, Peter M and Nuding, Sebastian and Nutile, Teresa and Peters, Annette and Pfeufer, Arne and Pietzner, Diana and Pramstaller, Peter P and Raitakari, Olli T and Rice, Kenneth M and Rivadeneira, Fernando and Rotter, Jerome I and Ruohonen, Saku T and Sacco, Ralph L and Samdarshi, Tandaw E and Schmidt, Helena and Sharp, Andrew S P and Shields, Denis C and Sorice, Rossella and Sotoodehnia, Nona and Stricker, Bruno H and Surendran, Praveen and Thom, Simon and T{\"o}glhofer, Anna M and Uitterlinden, Andr{\'e} G and Wachter, Rolf and V{\"o}lzke, Henry and Ziegler, Andreas and M{\"u}nzel, Thomas and M{\"a}rz, Winfried and Cappola, Thomas P and Hirschhorn, Joel N and Mitchell, Gary F and Smith, Nicholas L and Fox, Ervin R and Dueker, Nicole D and Jaddoe, Vincent W V and Melander, Olle and Russ, Martin and Lehtim{\"a}ki, Terho and Ciullo, Marina and Hicks, Andrew A and Lind, Lars and Gudnason, Vilmundur and Pieske, Burkert and Barron, Anthony J and Zweiker, Robert and Schunkert, Heribert and Ingelsson, Erik and Liu, Kiang and Arnett, Donna K and Psaty, Bruce M and Blankenberg, Stefan and Larson, Martin G and Felix, Stephan B and Franco, Oscar H and Zeller, Tanja and Vasan, Ramachandran S and D{\"o}rr, Marcus} } @article {7569, title = {New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals.}, journal = {Circ Cardiovasc Genet}, volume = {10}, year = {2017}, month = {2017 Oct}, abstract = {

BACKGROUND: Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association.

METHODS AND RESULTS: Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant (P<5{\texttimes}10-8) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP), rs7437940 (AFAP1), rs13303 (missense, STAB1), and rs1055144 (7p15.2). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH) was genome-wide significant.

CONCLUSIONS: We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.117.001778}, author = {Kraja, Aldi T and Cook, James P and Warren, Helen R and Surendran, Praveen and Liu, Chunyu and Evangelou, Evangelos and Manning, Alisa K and Grarup, Niels and Drenos, Fotios and Sim, Xueling and Smith, Albert Vernon and Amin, Najaf and Blakemore, Alexandra I F and Bork-Jensen, Jette and Brandslund, Ivan and Farmaki, Aliki-Eleni and Fava, Cristiano and Ferreira, Teresa and Herzig, Karl-Heinz and Giri, Ayush and Giulianini, Franco and Grove, Megan L and Guo, Xiuqing and Harris, Sarah E and Have, Christian T and Havulinna, Aki S and Zhang, He and J{\o}rgensen, Marit E and K{\"a}r{\"a}j{\"a}m{\"a}ki, AnneMari and Kooperberg, Charles and Linneberg, Allan and Little, Louis and Liu, Yongmei and Bonnycastle, Lori L and Lu, Yingchang and M{\"a}gi, Reedik and Mahajan, Anubha and Malerba, Giovanni and Marioni, Riccardo E and Mei, Hao and Menni, Cristina and Morrison, Alanna C and Padmanabhan, Sandosh and Palmas, Walter and Poveda, Alaitz and Rauramaa, Rainer and Rayner, Nigel William and Riaz, Muhammad and Rice, Ken and Richard, Melissa A and Smith, Jennifer A and Southam, Lorraine and Stan{\v c}{\'a}kov{\'a}, Alena and Stirrups, Kathleen E and Tragante, Vinicius and Tuomi, Tiinamaija and Tzoulaki, Ioanna and Varga, Tibor V and Weiss, Stefan and Yiorkas, Andrianos M and Young, Robin and Zhang, Weihua and Barnes, Michael R and Cabrera, Claudia P and Gao, He and Boehnke, Michael and Boerwinkle, Eric and Chambers, John C and Connell, John M and Christensen, Cramer K and de Boer, Rudolf A and Deary, Ian J and Dedoussis, George and Deloukas, Panos and Dominiczak, Anna F and D{\"o}rr, Marcus and Joehanes, Roby and Edwards, Todd L and Esko, T{\~o}nu and Fornage, Myriam and Franceschini, Nora and Franks, Paul W and Gambaro, Giovanni and Groop, Leif and Hallmans, G{\"o}ran and Hansen, Torben and Hayward, Caroline and Heikki, Oksa and Ingelsson, Erik and Tuomilehto, Jaakko and Jarvelin, Marjo-Riitta and Kardia, Sharon L R and Karpe, Fredrik and Kooner, Jaspal S and Lakka, Timo A and Langenberg, Claudia and Lind, Lars and Loos, Ruth J F and Laakso, Markku and McCarthy, Mark I and Melander, Olle and Mohlke, Karen L and Morris, Andrew P and Palmer, Colin N A and Pedersen, Oluf and Polasek, Ozren and Poulter, Neil R and Province, Michael A and Psaty, Bruce M and Ridker, Paul M and Rotter, Jerome I and Rudan, Igor and Salomaa, Veikko and Samani, Nilesh J and Sever, Peter J and Skaaby, Tea and Stafford, Jeanette M and Starr, John M and van der Harst, Pim and van der Meer, Peter and van Duijn, Cornelia M and Vergnaud, Anne-Claire and Gudnason, Vilmundur and Wareham, Nicholas J and Wilson, James G and Willer, Cristen J and Witte, Daniel R and Zeggini, Eleftheria and Saleheen, Danish and Butterworth, Adam S and Danesh, John and Asselbergs, Folkert W and Wain, Louise V and Ehret, Georg B and Chasman, Daniel I and Caulfield, Mark J and Elliott, Paul and Lindgren, Cecilia M and Levy, Daniel and Newton-Cheh, Christopher and Munroe, Patricia B and Howson, Joanna M M} } @article {7587, title = {Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer{\textquoteright}s disease.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Sep}, pages = {1373-1384}, abstract = {

We identified rare coding variants associated with Alzheimer{\textquoteright}s disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 {\texttimes} 10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 {\texttimes} 10-8) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer{\textquoteright}s disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 {\texttimes} 10-10, odds ratio (OR) = 0.68, minor allele frequency (MAF)cases = 0.0059, MAFcontrols = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 {\texttimes} 10-10, OR = 1.43, MAFcases = 0.011, MAFcontrols = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 {\texttimes} 10-14, OR = 1.67, MAFcases = 0.0143, MAFcontrols = 0.0089), a known susceptibility gene for Alzheimer{\textquoteright}s disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer{\textquoteright}s disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer{\textquoteright}s disease.

}, keywords = {Adaptor Proteins, Signal Transducing, Alzheimer Disease, Amino Acid Sequence, Case-Control Studies, Exome, Gene Expression Profiling, Gene Frequency, Genetic Predisposition to Disease, Genotype, Humans, Immunity, Innate, Linkage Disequilibrium, Membrane Glycoproteins, Microglia, Odds Ratio, Phospholipase C gamma, Polymorphism, Single Nucleotide, Protein Interaction Maps, Receptors, Immunologic, Sequence Homology, Amino Acid}, issn = {1546-1718}, doi = {10.1038/ng.3916}, author = {Sims, Rebecca and van der Lee, Sven J and Naj, Adam C and Bellenguez, C{\'e}line and Badarinarayan, Nandini and Jakobsdottir, Johanna and Kunkle, Brian W and Boland, Anne and Raybould, Rachel and Bis, Joshua C and Martin, Eden R and Grenier-Boley, Benjamin and Heilmann-Heimbach, Stefanie and Chouraki, Vincent and Kuzma, Amanda B and Sleegers, Kristel and Vronskaya, Maria and Ruiz, Agustin and Graham, Robert R and Olaso, Robert and Hoffmann, Per and Grove, Megan L and Vardarajan, Badri N and Hiltunen, Mikko and N{\"o}then, Markus M and White, Charles C and Hamilton-Nelson, Kara L and Epelbaum, Jacques and Maier, Wolfgang and Choi, Seung-Hoan and Beecham, Gary W and Dulary, C{\'e}cile and Herms, Stefan and Smith, Albert V and Funk, Cory C and Derbois, C{\'e}line and Forstner, Andreas J and Ahmad, Shahzad and Li, Hongdong and Bacq, Delphine and Harold, Denise and Satizabal, Claudia L and Valladares, Otto and Squassina, Alessio and Thomas, Rhodri and Brody, Jennifer A and Qu, Liming and S{\'a}nchez-Juan, Pascual and Morgan, Taniesha and Wolters, Frank J and Zhao, Yi and Garcia, Florentino Sanchez and Denning, Nicola and Fornage, Myriam and Malamon, John and Naranjo, Maria Candida Deniz and Majounie, Elisa and Mosley, Thomas H and Dombroski, Beth and Wallon, David and Lupton, Michelle K and Dupuis, Jos{\'e}e and Whitehead, Patrice and Fratiglioni, Laura and Medway, Christopher and Jian, Xueqiu and Mukherjee, Shubhabrata and Keller, Lina and Brown, Kristelle and Lin, Honghuang and Cantwell, Laura B and Panza, Francesco and McGuinness, Bernadette and Moreno-Grau, Sonia and Burgess, Jeremy D and Solfrizzi, Vincenzo and Proitsi, Petra and Adams, Hieab H and Allen, Mariet and Seripa, Davide and Pastor, Pau and Cupples, L Adrienne and Price, Nathan D and Hannequin, Didier and Frank-Garc{\'\i}a, Ana and Levy, Daniel and Chakrabarty, Paramita and Caffarra, Paolo and Giegling, Ina and Beiser, Alexa S and Giedraitis, Vilmantas and Hampel, Harald and Garcia, Melissa E and Wang, Xue and Lannfelt, Lars and Mecocci, Patrizia and Eiriksdottir, Gudny and Crane, Paul K and Pasquier, Florence and Boccardi, Virginia and Hen{\'a}ndez, Isabel and Barber, Robert C and Scherer, Martin and Tarraga, Lluis and Adams, Perrie M and Leber, Markus and Chen, Yuning and Albert, Marilyn S and Riedel-Heller, Steffi and Emilsson, Valur and Beekly, Duane and Braae, Anne and Schmidt, Reinhold and Blacker, Deborah and Masullo, Carlo and Schmidt, Helena and Doody, Rachelle S and Spalletta, Gianfranco and Jr, W T Longstreth and Fairchild, Thomas J and Boss{\`u}, Paola and Lopez, Oscar L and Frosch, Matthew P and Sacchinelli, Eleonora and Ghetti, Bernardino and Yang, Qiong and Huebinger, Ryan M and Jessen, Frank and Li, Shuo and Kamboh, M Ilyas and Morris, John and Sotolongo-Grau, Oscar and Katz, Mindy J and Corcoran, Chris and Dunstan, Melanie and Braddel, Amy and Thomas, Charlene and Meggy, Alun and Marshall, Rachel and Gerrish, Amy and Chapman, Jade and Aguilar, Miquel and Taylor, Sarah and Hill, Matt and Fair{\'e}n, M{\`o}nica D{\'\i}ez and Hodges, Angela and Vellas, Bruno and Soininen, Hilkka and Kloszewska, Iwona and Daniilidou, Makrina and Uphill, James and Patel, Yogen and Hughes, Joseph T and Lord, Jenny and Turton, James and Hartmann, Annette M and Cecchetti, Roberta and Fenoglio, Chiara and Serpente, Maria and Arcaro, Marina and Caltagirone, Carlo and Orfei, Maria Donata and Ciaramella, Antonio and Pichler, Sabrina and Mayhaus, Manuel and Gu, Wei and Lleo, Alberto and Fortea, Juan and Blesa, Rafael and Barber, Imelda S and Brookes, Keeley and Cupidi, Chiara and Maletta, Raffaele Giovanni and Carrell, David and Sorbi, Sandro and Moebus, Susanne and Urbano, Maria and Pilotto, Alberto and Kornhuber, Johannes and Bosco, Paolo and Todd, Stephen and Craig, David and Johnston, Janet and Gill, Michael and Lawlor, Brian and Lynch, Aoibhinn and Fox, Nick C and Hardy, John and Albin, Roger L and Apostolova, Liana G and Arnold, Steven E and Asthana, Sanjay and Atwood, Craig S and Baldwin, Clinton T and Barnes, Lisa L and Barral, Sandra and Beach, Thomas G and Becker, James T and Bigio, Eileen H and Bird, Thomas D and Boeve, Bradley F and Bowen, James D and Boxer, Adam and Burke, James R and Burns, Jeffrey M and Buxbaum, Joseph D and Cairns, Nigel J and Cao, Chuanhai and Carlson, Chris S and Carlsson, Cynthia M and Carney, Regina M and Carrasquillo, Minerva M and Carroll, Steven L and Diaz, Carolina Ceballos and Chui, Helena C and Clark, David G and Cribbs, David H and Crocco, Elizabeth A and DeCarli, Charles and Dick, Malcolm and Duara, Ranjan and Evans, Denis A and Faber, Kelley M and Fallon, Kenneth B and Fardo, David W and Farlow, Martin R and Ferris, Steven and Foroud, Tatiana M and Galasko, Douglas R and Gearing, Marla and Geschwind, Daniel H and Gilbert, John R and Graff-Radford, Neill R and Green, Robert C and Growdon, John H and Hamilton, Ronald L and Harrell, Lindy E and Honig, Lawrence S and Huentelman, Matthew J and Hulette, Christine M and Hyman, Bradley T and Jarvik, Gail P and Abner, Erin and Jin, Lee-Way and Jun, Gyungah and Karydas, Anna and Kaye, Jeffrey A and Kim, Ronald and Kowall, Neil W and Kramer, Joel H and LaFerla, Frank M and Lah, James J and Leverenz, James B and Levey, Allan I and Li, Ge and Lieberman, Andrew P and Lunetta, Kathryn L and Lyketsos, Constantine G and Marson, Daniel C and Martiniuk, Frank and Mash, Deborah C and Masliah, Eliezer and McCormick, Wayne C and McCurry, Susan M and McDavid, Andrew N and McKee, Ann C and Mesulam, Marsel and Miller, Bruce L and Miller, Carol A and Miller, Joshua W and Morris, John C and Murrell, Jill R and Myers, Amanda J and O{\textquoteright}Bryant, Sid and Olichney, John M and Pankratz, Vernon S and Parisi, Joseph E and Paulson, Henry L and Perry, William and Peskind, Elaine and Pierce, Aimee and Poon, Wayne W and Potter, Huntington and Quinn, Joseph F and Raj, Ashok and Raskind, Murray and Reisberg, Barry and Reitz, Christiane and Ringman, John M and Roberson, Erik D and Rogaeva, Ekaterina and Rosen, Howard J and Rosenberg, Roger N and Sager, Mark A and Saykin, Andrew J and Schneider, Julie A and Schneider, Lon S and Seeley, William W and Smith, Amanda G and Sonnen, Joshua A and Spina, Salvatore and Stern, Robert A and Swerdlow, Russell H and Tanzi, Rudolph E and Thornton-Wells, Tricia A and Trojanowski, John Q and Troncoso, Juan C and Van Deerlin, Vivianna M and Van Eldik, Linda J and Vinters, Harry V and Vonsattel, Jean Paul and Weintraub, Sandra and Welsh-Bohmer, Kathleen A and Wilhelmsen, Kirk C and Williamson, Jennifer and Wingo, Thomas S and Woltjer, Randall L and Wright, Clinton B and Yu, Chang-En and Yu, Lei and Garzia, Fabienne and Golamaully, Feroze and Septier, Gislain and Engelborghs, Sebastien and Vandenberghe, Rik and De Deyn, Peter P and Fernadez, Carmen Mu{\~n}oz and Benito, Yoland Aladro and Thonberg, H{\r a}kan and Forsell, Charlotte and Lilius, Lena and Kinhult-St{\r a}hlbom, Anne and Kilander, Lena and Brundin, RoseMarie and Concari, Letizia and Helisalmi, Seppo and Koivisto, Anne Maria and Haapasalo, Annakaisa and Dermecourt, Vincent and Fi{\'e}vet, Nathalie and Hanon, Olivier and Dufouil, Carole and Brice, Alexis and Ritchie, Karen and Dubois, Bruno and Himali, Jayanadra J and Keene, C Dirk and Tschanz, JoAnn and Fitzpatrick, Annette L and Kukull, Walter A and Norton, Maria and Aspelund, Thor and Larson, Eric B and Munger, Ron and Rotter, Jerome I and Lipton, Richard B and Bullido, Mar{\'\i}a J and Hofman, Albert and Montine, Thomas J and Coto, Eliecer and Boerwinkle, Eric and Petersen, Ronald C and Alvarez, Victoria and Rivadeneira, Fernando and Reiman, Eric M and Gallo, Maura and O{\textquoteright}Donnell, Christopher J and Reisch, Joan S and Bruni, Amalia Cecilia and Royall, Donald R and Dichgans, Martin and Sano, Mary and Galimberti, Daniela and St George-Hyslop, Peter and Scarpini, Elio and Tsuang, Debby W and Mancuso, Michelangelo and Bonuccelli, Ubaldo and Winslow, Ashley R and Daniele, Antonio and Wu, Chuang-Kuo and Peters, Oliver and Nacmias, Benedetta and Riemenschneider, Matthias and Heun, Reinhard and Brayne, Carol and Rubinsztein, David C and Bras, Jose and Guerreiro, Rita and Al-Chalabi, Ammar and Shaw, Christopher E and Collinge, John and Mann, David and Tsolaki, Magda and Clarimon, Jordi and Sussams, Rebecca and Lovestone, Simon and O{\textquoteright}Donovan, Michael C and Owen, Michael J and Behrens, Timothy W and Mead, Simon and Goate, Alison M and Uitterlinden, Andr{\'e} G and Holmes, Clive and Cruchaga, Carlos and Ingelsson, Martin and Bennett, David A and Powell, John and Golde, Todd E and Graff, Caroline and De Jager, Philip L and Morgan, Kevin and Ertekin-Taner, Nilufer and Combarros, Onofre and Psaty, Bruce M and Passmore, Peter and Younkin, Steven G and Berr, Claudine and Gudnason, Vilmundur and Rujescu, Dan and Dickson, Dennis W and Dartigues, Jean-Fran{\c c}ois and DeStefano, Anita L and Ortega-Cubero, Sara and Hakonarson, Hakon and Campion, Dominique and Boada, Merce and Kauwe, John Keoni and Farrer, Lindsay A and Van Broeckhoven, Christine and Ikram, M Arfan and Jones, Lesley and Haines, Jonathan L and Tzourio, Christophe and Launer, Lenore J and Escott-Price, Valentina and Mayeux, Richard and Deleuze, Jean-Francois and Amin, Najaf and Holmans, Peter A and Pericak-Vance, Margaret A and Amouyel, Philippe and van Duijn, Cornelia M and Ramirez, Alfredo and Wang, Li-San and Lambert, Jean-Charles and Seshadri, Sudha and Williams, Julie and Schellenberg, Gerard D} } @article {7572, title = {Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 May}, pages = {e1006728}, abstract = {

Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25{\texttimes}10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.

}, keywords = {African Americans, Animals, Basic Helix-Loop-Helix Transcription Factors, Blood Pressure, Cadherins, Case-Control Studies, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Membrane Proteins, Mice, Multifactorial Inheritance, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006728}, author = {Liang, Jingjing and Le, Thu H and Edwards, Digna R Velez and Tayo, Bamidele O and Gaulton, Kyle J and Smith, Jennifer A and Lu, Yingchang and Jensen, Richard A and Chen, Guanjie and Yanek, Lisa R and Schwander, Karen and Tajuddin, Salman M and Sofer, Tamar and Kim, Wonji and Kayima, James and McKenzie, Colin A and Fox, Ervin and Nalls, Michael A and Young, J Hunter and Sun, Yan V and Lane, Jacqueline M and Cechova, Sylvia and Zhou, Jie and Tang, Hua and Fornage, Myriam and Musani, Solomon K and Wang, Heming and Lee, Juyoung and Adeyemo, Adebowale and Dreisbach, Albert W and Forrester, Terrence and Chu, Pei-Lun and Cappola, Anne and Evans, Michele K and Morrison, Alanna C and Martin, Lisa W and Wiggins, Kerri L and Hui, Qin and Zhao, Wei and Jackson, Rebecca D and Ware, Erin B and Faul, Jessica D and Reiner, Alex P and Bray, Michael and Denny, Joshua C and Mosley, Thomas H and Palmas, Walter and Guo, Xiuqing and Papanicolaou, George J and Penman, Alan D and Polak, Joseph F and Rice, Kenneth and Taylor, Ken D and Boerwinkle, Eric and Bottinger, Erwin P and Liu, Kiang and Risch, Neil and Hunt, Steven C and Kooperberg, Charles and Zonderman, Alan B and Laurie, Cathy C and Becker, Diane M and Cai, Jianwen and Loos, Ruth J F and Psaty, Bruce M and Weir, David R and Kardia, Sharon L R and Arnett, Donna K and Won, Sungho and Edwards, Todd L and Redline, Susan and Cooper, Richard S and Rao, D C and Rotter, Jerome I and Rotimi, Charles and Levy, Daniel and Chakravarti, Aravinda and Zhu, Xiaofeng and Franceschini, Nora} } @article {7465, title = {Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci.}, journal = {Hum Genet}, volume = {136}, year = {2017}, month = {2017 Jun}, pages = {771-800}, abstract = {

Most body mass index (BMI) genetic loci have been identified in studies of primarily European ancestries. The effect of these loci in other racial/ethnic groups is less clear. Thus, we aimed to characterize the generalizability of 170 established BMI variants, or their proxies, to diverse US populations and trans-ethnically fine-map 36 BMI loci using a sample of >102,000 adults of African, Hispanic/Latino, Asian, European and American Indian/Alaskan Native descent from the Population Architecture using Genomics and Epidemiology Study. We performed linear regression of the natural log of BMI (18.5-70~kg/m(2)) on the additive single nucleotide polymorphisms (SNPs) at BMI loci on the MetaboChip (Illumina, Inc.), adjusting for age, sex, population stratification, study site, or relatedness. We then performed fixed-effect meta-analyses and a Bayesian trans-ethnic meta-analysis to empirically cluster by allele frequency differences. Finally, we approximated conditional and joint associations to test for the presence of secondary signals. We noted directional consistency with the previously reported risk alleles beyond what would have been expected by chance (binomial p~<~0.05). Nearly, a quarter of the previously described BMI index SNPs and 29 of 36 densely-genotyped BMI loci on the MetaboChip replicated/generalized in trans-ethnic analyses. We observed multiple signals at nine loci, including the description of seven loci with novel multiple signals. This study supports the generalization of most common genetic loci to diverse ancestral populations and emphasizes the importance of dense multiethnic genomic data in refining the functional variation at genetic loci of interest and describing several loci with multiple underlying genetic variants.

}, keywords = {Body Mass Index, Ethnic Groups, Genetics, Population, Humans, Obesity}, issn = {1432-1203}, doi = {10.1007/s00439-017-1787-6}, author = {Fernandez-Rhodes, Lindsay and Gong, Jian and Haessler, Jeffrey and Franceschini, Nora and Graff, Mariaelisa and Nishimura, Katherine K and Wang, Yujie and Highland, Heather M and Yoneyama, Sachiko and Bush, William S and Goodloe, Robert and Ritchie, Marylyn D and Crawford, Dana and Gross, Myron and Fornage, Myriam and B{\r u}zkov{\'a}, Petra and Tao, Ran and Isasi, Carmen and Avil{\'e}s-Santa, Larissa and Daviglus, Martha and Mackey, Rachel H and Houston, Denise and Gu, C Charles and Ehret, Georg and Nguyen, Khanh-Dung H and Lewis, Cora E and Leppert, Mark and Irvin, Marguerite R and Lim, Unhee and Haiman, Christopher A and Le Marchand, Lo{\"\i}c and Schumacher, Fredrick and Wilkens, Lynne and Lu, Yingchang and Bottinger, Erwin P and Loos, Ruth J L and Sheu, Wayne H-H and Guo, Xiuqing and Lee, Wen-Jane and Hai, Yang and Hung, Yi-Jen and Absher, Devin and Wu, I-Chien and Taylor, Kent D and Lee, I-Te and Liu, Yeheng and Wang, Tzung-Dau and Quertermous, Thomas and Juang, Jyh-Ming J and Rotter, Jerome I and Assimes, Themistocles and Hsiung, Chao A and Chen, Yii-Der Ida and Prentice, Ross and Kuller, Lewis H and Manson, JoAnn E and Kooperberg, Charles and Smokowski, Paul and Robinson, Whitney R and Gordon-Larsen, Penny and Li, Rongling and Hindorff, Lucia and Buyske, Steven and Matise, Tara C and Peters, Ulrike and North, Kari E} } @article {7554, title = {Trends in the incidence of dementia: design and methods in the Alzheimer Cohorts Consortium.}, journal = {Eur J Epidemiol}, volume = {32}, year = {2017}, month = {2017 Oct}, pages = {931-938}, abstract = {

Several studies have reported a decline in incidence of dementia which may have large implications for the projected burden of disease, and provide important guidance to preventive efforts. However, reports are conflicting or inconclusive with regard to the impact of gender and education with underlying causes of a presumed declining trend remaining largely unidentified. The Alzheimer Cohorts Consortium aggregates data from nine international population-based cohorts to determine changes in the incidence of dementia since 1990. We will employ Poisson regression models to calculate incidence rates in each cohort and Cox proportional hazard regression to compare 5-year cumulative hazards across study-specific epochs. Finally, we will meta-analyse changes per decade across cohorts, and repeat all analysis stratified by sex, education and APOE genotype. In all cohorts combined, there are data on almost 69,000 people at risk of dementia with the range of follow-up years between 2 and 27. The average age at baseline is similar across cohorts ranging between 72 and 77. Uniting a wide range of disease-specific and methodological expertise in research teams, the first analyses within the Alzheimer Cohorts Consortium are underway to tackle outstanding challenges in the assessment of time-trends in dementia occurrence.

}, issn = {1573-7284}, doi = {10.1007/s10654-017-0320-5}, author = {Chibnik, Lori B and Wolters, Frank J and B{\"a}ckman, Kristoffer and Beiser, Alexa and Berr, Claudine and Bis, Joshua C and Boerwinkle, Eric and Bos, Daniel and Brayne, Carol and Dartigues, Jean-Fran{\c c}ois and Darweesh, Sirwan K L and Debette, Stephanie and Davis-Plourde, Kendra L and Dufouil, Carole and Fornage, Myriam and Grasset, Leslie and Gudnason, Vilmundur and Hadjichrysanthou, Christoforos and Helmer, Catherine and Ikram, M Arfan and Ikram, M Kamran and Kern, Silke and Kuller, Lewis H and Launer, Lenore and Lopez, Oscar L and Matthews, Fiona and Meirelles, Osorio and Mosley, Thomas and Ower, Alison and Psaty, Bruce M and Satizabal, Claudia L and Seshadri, Sudha and Skoog, Ingmar and Stephan, Blossom C M and Tzourio, Christophe and Waziry, Reem and Wong, Mei Mei and Zettergren, Anna and Hofman, Albert} } @article {7798, title = {Discovery, fine-mapping, and conditional analyses of genetic variants associated with C-reactive protein in multiethnic populations using the Metabochip in the Population Architecture using Genomics and Epidemiology (PAGE) study.}, journal = {Hum Mol Genet}, volume = {27}, year = {2018}, month = {2018 Aug 15}, pages = {2940-2953}, abstract = {

C-reactive protein (CRP) is a circulating biomarker indicative of systemic inflammation. We aimed to evaluate genetic associations with CRP levels among non-European-ancestry populations through discovery, fine-mapping and conditional analyses. A total of 30~503 non-European-ancestry participants from 6 studies participating in the Population Architecture using Genomics and Epidemiology study had serum high-sensitivity CRP measurements and \~{}200~000 single nucleotide polymorphisms (SNPs) genotyped on the Metabochip. We evaluated the association between each SNP and log-transformed CRP levels using multivariate linear regression, with additive genetic models adjusted for age, sex, the first four principal components of genetic ancestry, and study-specific factors. Differential linkage disequilibrium patterns between race/ethnicity groups were used to fine-map regions associated with CRP levels. Conditional analyses evaluated for multiple independent signals within genetic regions. One hundred and sixty-three unique variants in 12 loci in overall or race/ethnicity-stratified Metabochip-wide scans reached a Bonferroni-corrected P-value <2.5E-7. Three loci have no (HACL1, OLFML2B) or only limited (PLA2G6) previous associations with CRP levels. Six loci had different top hits in race/ethnicity-specific versus overall analyses. Fine-mapping refined the signal in six loci, particularly in HNF1A. Conditional analyses provided evidence for secondary signals in LEPR, IL1RN and HNF1A, and for multiple independent signals in CRP and APOE. We identified novel variants and loci associated with CRP levels, generalized known CRP associations to a multiethnic study population, refined association signals at several loci and found evidence for multiple independent signals at several well-known loci. This study demonstrates the benefit of conducting inclusive genetic association studies in large multiethnic populations.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddy211}, author = {Kocarnik, Jonathan M and Richard, Melissa and Graff, Misa and Haessler, Jeffrey and Bien, Stephanie and Carlson, Chris and Carty, Cara L and Reiner, Alexander P and Avery, Christy L and Ballantyne, Christie M and LaCroix, Andrea Z and Assimes, Themistocles L and Barbalic, Maja and Pankratz, Nathan and Tang, Weihong and Tao, Ran and Chen, Dongquan and Talavera, Gregory A and Daviglus, Martha L and Chirinos-Medina, Diana A and Pereira, Rocio and Nishimura, Katie and B{\r u}zkov{\'a}, Petra and Best, Lyle G and Ambite, Jose Luis and Cheng, Iona and Crawford, Dana C and Hindorff, Lucia A and Fornage, Myriam and Heiss, Gerardo and North, Kari E and Haiman, Christopher A and Peters, Ulrike and Le Marchand, Lo{\"\i}c and Kooperberg, Charles} } @article {7796, title = {Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.}, journal = {Stroke}, year = {2018}, month = {2018 Jul 12}, abstract = {

BACKGROUND AND PURPOSE: White matter hyperintensities (WMH) on brain magnetic resonance imaging are typical signs of cerebral small vessel disease and may indicate various preclinical, age-related neurological disorders, such as stroke. Though WMH are highly heritable, known common variants explain a small proportion of the WMH variance. The contribution of low-frequency/rare coding variants to WMH burden has not been explored.

METHODS: In the discovery sample we recruited 20 719 stroke/dementia-free adults from 13 population-based cohort studies within the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, among which 17 790 were of European ancestry and 2929 of African ancestry. We genotyped these participants at ≈250 000 mostly exonic variants with Illumina HumanExome BeadChip arrays. We performed ethnicity-specific linear regression on rank-normalized WMH in each study separately, which were then combined in meta-analyses to test for association with single variants and genes aggregating the effects of putatively functional low-frequency/rare variants. We then sought replication of the top findings in 1192 adults (European ancestry) with whole exome/genome sequencing data from 2 independent studies.

RESULTS: At 17q25, we confirmed the association of multiple common variants in , , and (<6{\texttimes}10). We also identified a novel association with 2 low-frequency nonsynonymous variants in (lead, rs34136221; =4.5{\texttimes}10) partially independent of known common signal (=1.4{\texttimes}10). We further identified a locus at 2q33 containing common variants in , , and (lead, rs2351524; =1.9{\texttimes}10). Although our novel findings were not replicated because of limited power and possible differences in study design, meta-analysis of the discovery and replication samples yielded stronger association for the 2 low-frequency variants (=2.8{\texttimes}10).

CONCLUSIONS: Both common and low-frequency/rare functional variants influence WMH. Larger replication and experimental follow-up are essential to confirm our findings and uncover the biological causal mechanisms of age-related WMH.

}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.118.020689}, author = {Jian, Xueqiu and Satizabal, Claudia L and Smith, Albert V and Wittfeld, Katharina and Bis, Joshua C and Smith, Jennifer A and Hsu, Fang-Chi and Nho, Kwangsik and Hofer, Edith and Hagenaars, Saskia P and Nyquist, Paul A and Mishra, Aniket and Adams, Hieab H H and Li, Shuo and Teumer, Alexander and Zhao, Wei and Freedman, Barry I and Saba, Yasaman and Yanek, Lisa R and Chauhan, Ganesh and van Buchem, Mark A and Cushman, Mary and Royle, Natalie A and Bryan, R Nick and Niessen, Wiro J and Windham, Beverly G and DeStefano, Anita L and Habes, Mohamad and Heckbert, Susan R and Palmer, Nicholette D and Lewis, Cora E and Eiriksdottir, Gudny and Maillard, Pauline and Mathias, Rasika A and Homuth, Georg and Vald{\'e}s-Hern{\'a}ndez, Maria Del C and Divers, Jasmin and Beiser, Alexa S and Langner, S{\"o}nke and Rice, Kenneth M and Bastin, Mark E and Yang, Qiong and Maldjian, Joseph A and Starr, John M and Sidney, Stephen and Risacher, Shannon L and Uitterlinden, Andr{\'e} G and Gudnason, Vilmundur G and Nauck, Matthias and Rotter, Jerome I and Schreiner, Pamela J and Boerwinkle, Eric and van Duijn, Cornelia M and Mazoyer, Bernard and von Sarnowski, Bettina and Gottesman, Rebecca F and Levy, Daniel and Sigurdsson, Sigurdur and Vernooij, Meike W and Turner, Stephen T and Schmidt, Reinhold and Wardlaw, Joanna M and Psaty, Bruce M and Mosley, Thomas H and DeCarli, Charles S and Saykin, Andrew J and Bowden, Donald W and Becker, Diane M and Deary, Ian J and Schmidt, Helena and Kardia, Sharon L R and Ikram, M Arfan and Debette, Stephanie and Grabe, Hans J and Longstreth, W T and Seshadri, Sudha and Launer, Lenore J and Fornage, Myriam} } @article {7793, title = {Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study.}, journal = {Am J Hematol}, year = {2018}, month = {2018 Jun 15}, abstract = {

Red blood cell (RBC) traits provide insight into a wide range of physiological states and exhibit moderate to high heritability, making them excellent candidates for genetic studies to inform underlying biologic mechanisms. Previous RBC trait genome-wide association studies were performed primarily in European- or Asian-ancestry populations, missing opportunities to inform understanding of RBC genetic architecture in diverse populations and reduce intervals surrounding putative functional SNPs through fine-mapping. Here, we report the first fine-mapping of six correlated (Pearson{\textquoteright}s r range: |0.04 - 0.92|) RBC traits in up to 19,036 African Americans and 19,562 Hispanic/Latinos participants of the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Trans-ethnic meta-analysis of race/ethnic- and study-specific estimates for approximately 11,000 SNPs flanking 13 previously identified association signals as well as 150,000 additional array-wide SNPs was performed using inverse-variance meta-analysis after adjusting for study and clinical covariates. Approximately half of previously reported index SNP-RBC trait associations generalized to the trans-ethnic study population (p<1.7x10 ); previously unreported independent association signals within the ABO region reinforce the potential for multiple functional variants affecting the same locus. Trans-ethnic fine-mapping did not reveal additional signals at the HFE locus independent of the known functional variants. Finally, we identified a potential novel association in the Hispanic/Latino study population at the HECTD4/RPL6 locus for RBC count (p=1.9x10 ). The identification of a previously unknown association, generalization of a large proportion of known association signals, and refinement of known association signals all exemplify the benefits of genetic studies in diverse populations. This article is protected by copyright. All rights reserved.

}, issn = {1096-8652}, doi = {10.1002/ajh.25161}, author = {Jo Hodonsky, Chani and Schurmann, Claudia and Schick, Ursula M and Kocarnik, Jonathan and Tao, Ran and van Rooij, Frank Ja and Wassel, Christina and Buyske, Steve and Fornage, Myriam and Hindorff, Lucia A and Floyd, James S and Ganesh, Santhi K and Lin, Dan-Yu and North, Kari E and Reiner, Alex P and Loos, Ruth Jf and Kooperberg, Charles and Avery, Christy L} } @article {7920, title = {Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.}, journal = {Am J Hum Genet}, volume = {103}, year = {2018}, month = {2018 Nov 01}, pages = {691-706}, abstract = {

C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5~{\texttimes} 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0\% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2018.09.009}, author = {Ligthart, Symen and Vaez, Ahmad and V{\~o}sa, Urmo and Stathopoulou, Maria G and de Vries, Paul S and Prins, Bram P and van der Most, Peter J and Tanaka, Toshiko and Naderi, Elnaz and Rose, Lynda M and Wu, Ying and Karlsson, Robert and Barbalic, Maja and Lin, Honghuang and Pool, Rene and Zhu, Gu and Mace, Aurelien and Sidore, Carlo and Trompet, Stella and Mangino, Massimo and Sabater-Lleal, Maria and Kemp, John P and Abbasi, Ali and Kacprowski, Tim and Verweij, Niek and Smith, Albert V and Huang, Tao and Marzi, Carola and Feitosa, Mary F and Lohman, Kurt K and Kleber, Marcus E and Milaneschi, Yuri and Mueller, Christian and Huq, Mahmudul and Vlachopoulou, Efthymia and Lyytik{\"a}inen, Leo-Pekka and Oldmeadow, Christopher and Deelen, Joris and Perola, Markus and Zhao, Jing Hua and Feenstra, Bjarke and Amini, Marzyeh and Lahti, Jari and Schraut, Katharina E and Fornage, Myriam and Suktitipat, Bhoom and Chen, Wei-Min and Li, Xiaohui and Nutile, Teresa and Malerba, Giovanni and Luan, Jian{\textquoteright}an and Bak, Tom and Schork, Nicholas and del Greco M, Fabiola and Thiering, Elisabeth and Mahajan, Anubha and Marioni, Riccardo E and Mihailov, Evelin and Eriksson, Joel and Ozel, Ayse Bilge and Zhang, Weihua and Nethander, Maria and Cheng, Yu-Ching and Aslibekyan, Stella and Ang, Wei and Gandin, Ilaria and Yengo, Loic and Portas, Laura and Kooperberg, Charles and Hofer, Edith and Rajan, Kumar B and Schurmann, Claudia and den Hollander, Wouter and Ahluwalia, Tarunveer S and Zhao, Jing and Draisma, Harmen H M and Ford, Ian and Timpson, Nicholas and Teumer, Alexander and Huang, Hongyan and Wahl, Simone and Liu, Yongmei and Huang, Jie and Uh, Hae-Won and Geller, Frank and Joshi, Peter K and Yanek, Lisa R and Trabetti, Elisabetta and Lehne, Benjamin and Vozzi, Diego and Verbanck, Marie and Biino, Ginevra and Saba, Yasaman and Meulenbelt, Ingrid and O{\textquoteright}Connell, Jeff R and Laakso, Markku and Giulianini, Franco and Magnusson, Patrik K E and Ballantyne, Christie M and Hottenga, Jouke Jan and Montgomery, Grant W and Rivadineira, Fernando and Rueedi, Rico and Steri, Maristella and Herzig, Karl-Heinz and Stott, David J and Menni, Cristina and Fr{\r a}nberg, Mattias and St Pourcain, Beate and Felix, Stephan B and Pers, Tune H and Bakker, Stephan J L and Kraft, Peter and Peters, Annette and Vaidya, Dhananjay and Delgado, Graciela and Smit, Johannes H and Gro{\ss}mann, Vera and Sinisalo, Juha and Sepp{\"a}l{\"a}, Ilkka and Williams, Stephen R and Holliday, Elizabeth G and Moed, Matthijs and Langenberg, Claudia and R{\"a}ikk{\"o}nen, Katri and Ding, Jingzhong and Campbell, Harry and Sale, Mich{\`e}le M and Chen, Yii-der I and James, Alan L and Ruggiero, Daniela and Soranzo, Nicole and Hartman, Catharina A and Smith, Erin N and Berenson, Gerald S and Fuchsberger, Christian and Hernandez, Dena and Tiesler, Carla M T and Giedraitis, Vilmantas and Liewald, David and Fischer, Krista and Mellstr{\"o}m, Dan and Larsson, Anders and Wang, Yunmei and Scott, William R and Lorentzon, Matthias and Beilby, John and Ryan, Kathleen A and Pennell, Craig E and Vuckovic, Dragana and Balkau, Beverly and Concas, Maria Pina and Schmidt, Reinhold and Mendes de Leon, Carlos F and Bottinger, Erwin P and Kloppenburg, Margreet and Paternoster, Lavinia and Boehnke, Michael and Musk, A W and Willemsen, Gonneke and Evans, David M and Madden, Pamela A F and K{\"a}h{\"o}nen, Mika and Kutalik, Zolt{\'a}n and Zoledziewska, Magdalena and Karhunen, Ville and Kritchevsky, Stephen B and Sattar, Naveed and Lachance, Genevieve and Clarke, Robert and Harris, Tamara B and Raitakari, Olli T and Attia, John R and van Heemst, Diana and Kajantie, Eero and Sorice, Rossella and Gambaro, Giovanni and Scott, Robert A and Hicks, Andrew A and Ferrucci, Luigi and Standl, Marie and Lindgren, Cecilia M and Starr, John M and Karlsson, Magnus and Lind, Lars and Li, Jun Z and Chambers, John C and Mori, Trevor A and de Geus, Eco J C N and Heath, Andrew C and Martin, Nicholas G and Auvinen, Juha and Buckley, Brendan M and de Craen, Anton J M and Waldenberger, Melanie and Strauch, Konstantin and Meitinger, Thomas and Scott, Rodney J and McEvoy, Mark and Beekman, Marian and Bombieri, Cristina and Ridker, Paul M and Mohlke, Karen L and Pedersen, Nancy L and Morrison, Alanna C and Boomsma, Dorret I and Whitfield, John B and Strachan, David P and Hofman, Albert and Vollenweider, Peter and Cucca, Francesco and Jarvelin, Marjo-Riitta and Jukema, J Wouter and Spector, Tim D and Hamsten, Anders and Zeller, Tanja and Uitterlinden, Andr{\'e} G and Nauck, Matthias and Gudnason, Vilmundur and Qi, Lu and Grallert, Harald and Borecki, Ingrid B and Rotter, Jerome I and M{\"a}rz, Winfried and Wild, Philipp S and Lokki, Marja-Liisa and Boyle, Michael and Salomaa, Veikko and Melbye, Mads and Eriksson, Johan G and Wilson, James F and Penninx, Brenda W J H and Becker, Diane M and Worrall, Bradford B and Gibson, Greg and Krauss, Ronald M and Ciullo, Marina and Zaza, Gianluigi and Wareham, Nicholas J and Oldehinkel, Albertine J and Palmer, Lyle J and Murray, Sarah S and Pramstaller, Peter P and Bandinelli, Stefania and Heinrich, Joachim and Ingelsson, Erik and Deary, Ian J and M{\"a}gi, Reedik and Vandenput, Liesbeth and van der Harst, Pim and Desch, Karl C and Kooner, Jaspal S and Ohlsson, Claes and Hayward, Caroline and Lehtim{\"a}ki, Terho and Shuldiner, Alan R and Arnett, Donna K and Beilin, Lawrence J and Robino, Antonietta and Froguel, Philippe and Pirastu, Mario and Jess, Tine and Koenig, Wolfgang and Loos, Ruth J F and Evans, Denis A and Schmidt, Helena and Smith, George Davey and Slagboom, P Eline and Eiriksdottir, Gudny and Morris, Andrew P and Psaty, Bruce M and Tracy, Russell P and Nolte, Ilja M and Boerwinkle, Eric and Visvikis-Siest, Sophie and Reiner, Alex P and Gross, Myron and Bis, Joshua C and Franke, Lude and Franco, Oscar H and Benjamin, Emelia J and Chasman, Daniel I and Dupuis, Jos{\'e}e and Snieder, Harold and Dehghan, Abbas and Alizadeh, Behrooz Z} } @article {7791, title = {Genome-wide association meta-analysis of circulating odd-numbered chain saturated fatty acids: Results from the CHARGE Consortium.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0196951}, abstract = {

BACKGROUND: Odd-numbered chain saturated fatty acids (OCSFA) have been associated with potential health benefits. Although some OCSFA (e.g., C15:0 and C17:0) are found in meats and dairy products, sources and metabolism of C19:0 and C23:0 are relatively unknown, and the influence of non-dietary determinants, including genetic factors, on circulating levels of OCSFA is not established.

OBJECTIVE: To elucidate the biological processes that influence circulating levels of OCSFA by investigating associations between genetic variation and OCSFA.

DESIGN: We performed a meta-analysis of genome-wide association studies (GWAS) of plasma phospholipid/erythrocyte levels of C15:0, C17:0, C19:0, and C23:0 among 11,494 individuals of European descent. We also investigated relationships between specific single nucleotide polymorphisms (SNPs) in the lactase (LCT) gene, associated with adult-onset lactase intolerance, with circulating levels of dairy-derived OCSFA, and evaluated associations of candidate sphingolipid genes with C23:0 levels.

RESULTS: We found no genome-wide significant evidence that common genetic variation is associated with circulating levels of C15:0 or C23:0. In two cohorts with available data, we identified one intronic SNP (rs13361131) in myosin X gene (MYO10) associated with C17:0 level (P = 1.37{\texttimes}10-8), and two intronic SNP (rs12874278 and rs17363566) in deleted in lymphocytic leukemia 1 (DLEU1) region associated with C19:0 level (P = 7.07{\texttimes}10-9). In contrast, when using a candidate-gene approach, we found evidence that three SNPs in LCT (rs11884924, rs16832067, and rs3816088) are associated with circulating C17:0 level (adjusted P = 4{\texttimes}10-2). In addition, nine SNPs in the ceramide synthase 4 (CERS4) region were associated with circulating C23:0 levels (adjusted P<5{\texttimes}10-2).

CONCLUSIONS: Our findings suggest that circulating levels of OCSFA may be predominantly influenced by non-genetic factors. SNPs associated with C17:0 level in the LCT gene may reflect genetic influence in dairy consumption or in metabolism of dairy foods. SNPs associated with C23:0 may reflect a role of genetic factors in the synthesis of sphingomyelin.

}, keywords = {Fatty Acids, Genome-Wide Association Study, Humans, Introns, Lactase, Myosins, Polymorphism, Single Nucleotide, Sphingomyelins, Sphingosine N-Acyltransferase, Tumor Suppressor Proteins}, issn = {1932-6203}, doi = {10.1371/journal.pone.0196951}, author = {de Oliveira Otto, Marcia C and Lemaitre, Rozenn N and Sun, Qi and King, Irena B and Wu, Jason H Y and Manichaikul, Ani and Rich, Stephen S and Tsai, Michael Y and Chen, Y D and Fornage, Myriam and Weihua, Guan and Aslibekyan, Stella and Irvin, Marguerite R and Kabagambe, Edmond K and Arnett, Donna K and Jensen, Majken K and McKnight, Barbara and Psaty, Bruce M and Steffen, Lyn M and Smith, Caren E and Riserus, Ulf and Lind, Lars and Hu, Frank B and Rimm, Eric B and Siscovick, David S and Mozaffarian, Dariush} } @article {7849, title = {Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Sep 26}, pages = {3945}, abstract = {

The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (ρ = -0.59, p-value = 3.14 {\texttimes} 10), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-06234-w}, author = {Vojinovic, Dina and Adams, Hieab H and Jian, Xueqiu and Yang, Qiong and Smith, Albert Vernon and Bis, Joshua C and Teumer, Alexander and Scholz, Markus and Armstrong, Nicola J and Hofer, Edith and Saba, Yasaman and Luciano, Michelle and Bernard, Manon and Trompet, Stella and Yang, Jingyun and Gillespie, Nathan A and van der Lee, Sven J and Neumann, Alexander and Ahmad, Shahzad and Andreassen, Ole A and Ames, David and Amin, Najaf and Arfanakis, Konstantinos and Bastin, Mark E and Becker, Diane M and Beiser, Alexa S and Beyer, Frauke and Brodaty, Henry and Bryan, R Nick and B{\"u}low, Robin and Dale, Anders M and De Jager, Philip L and Deary, Ian J and DeCarli, Charles and Fleischman, Debra A and Gottesman, Rebecca F and van der Grond, Jeroen and Gudnason, Vilmundur and Harris, Tamara B and Homuth, Georg and Knopman, David S and Kwok, John B and Lewis, Cora E and Li, Shuo and Loeffler, Markus and Lopez, Oscar L and Maillard, Pauline and El Marroun, Hanan and Mather, Karen A and Mosley, Thomas H and Muetzel, Ryan L and Nauck, Matthias and Nyquist, Paul A and Panizzon, Matthew S and Pausova, Zdenka and Psaty, Bruce M and Rice, Ken and Rotter, Jerome I and Royle, Natalie and Satizabal, Claudia L and Schmidt, Reinhold and Schofield, Peter R and Schreiner, Pamela J and Sidney, Stephen and Stott, David J and Thalamuthu, Anbupalam and Uitterlinden, Andr{\'e} G and Vald{\'e}s Hern{\'a}ndez, Maria C and Vernooij, Meike W and Wen, Wei and White, Tonya and Witte, A Veronica and Wittfeld, Katharina and Wright, Margaret J and Yanek, Lisa R and Tiemeier, Henning and Kremen, William S and Bennett, David A and Jukema, J Wouter and Paus, Tom{\'a}{\v s} and Wardlaw, Joanna M and Schmidt, Helena and Sachdev, Perminder S and Villringer, Arno and Grabe, Hans J{\"o}rgen and Longstreth, W T and van Duijn, Cornelia M and Launer, Lenore J and Seshadri, Sudha and Ikram, M Arfan and Fornage, Myriam} } @article {7924, title = {Genome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels.}, journal = {Circulation}, year = {2018}, month = {2018 Nov 20}, abstract = {

BACKGROUND: Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.

METHODS: We meta-analyzed genome-wide association results from 46,354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated approximately 35 million imputed variants with natural-log transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization (MR) analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.

RESULTS: We identified 13 novel genome-wide significant (p<=2.5x10) associations; 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. MR suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.

CONCLUSIONS: The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.

}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.118.034532}, author = {Sabater-Lleal, Maria and Huffman, Jennifer E and de Vries, Paul S and Marten, Jonathan and Mastrangelo, Michael A and Song, Ci and Pankratz, Nathan and Ward-Caviness, Cavin K and Yanek, Lisa R and Trompet, Stella and Delgado, Graciela E and Guo, Xiuqing and Bartz, Traci M and Martinez-Perez, Angel and Germain, Marine and de Haan, Hugoline G and Ozel, Ayse B and Polasek, Ozren and Smith, Albert V and Eicher, John D and Reiner, Alex P and Tang, Weihong and Davies, Neil M and Stott, David J and Rotter, Jerome I and Tofler, Geoffrey H and Boerwinkle, Eric and de Maat, Moniek P M and Kleber, Marcus E and Welsh, Paul and Brody, Jennifer A and Chen, Ming-Huei and Vaidya, Dhananjay and Soria, Jos{\'e} Manuel and Suchon, Pierre and van Hylckama Vlieg, Astrid and Desch, Karl C and Kolcic, Ivana and Joshi, Peter K and Launer, Lenore J and Harris, Tamara B and Campbell, Harry and Rudan, Igor and Becker, Diane M and Li, Jun Z and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and Franco, Oscar H and Cushman, Mary and Psaty, Bruce M and Morange, Pierre-Emmanuel and McKnight, Barbara and Chong, Michael R and Fernandez-Cadenas, Israel and Rosand, Jonathan and Lindgren, Arne and Gudnason, Vilmundur and Wilson, James F and Hayward, Caroline and Ginsburg, David and Fornage, Myriam and Rosendaal, Frits R and Souto, Juan Carlos and Becker, Lewis C and Jenny, Nancy S and M{\"a}rz, Winfried and Jukema, J Wouter and Dehghan, Abbas and Tr{\'e}gou{\"e}t, David-Alexandre and Morrison, Alanna C and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Lowenstein, Charles J and Smith, Nicholas L} } @article {7686, title = {A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.}, journal = {Am J Hum Genet}, volume = {102}, year = {2018}, month = {2018 Mar 01}, pages = {375-400}, abstract = {

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined \~{}18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5~{\texttimes} 10) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5~{\texttimes} 10). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2018.01.015}, author = {Sung, Yun J and Winkler, Thomas W and de Las Fuentes, Lisa and Bentley, Amy R and Brown, Michael R and Kraja, Aldi T and Schwander, Karen and Ntalla, Ioanna and Guo, Xiuqing and Franceschini, Nora and Lu, Yingchang and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Marten, Jonathan and Musani, Solomon K and Li, Changwei and Feitosa, Mary F and Kilpel{\"a}inen, Tuomas O and Richard, Melissa A and Noordam, Raymond and Aslibekyan, Stella and Aschard, Hugues and Bartz, Traci M and Dorajoo, Rajkumar and Liu, Yongmei and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert Vernon and Tajuddin, Salman M and Tayo, Bamidele O and Warren, Helen R and Zhao, Wei and Zhou, Yanhua and Matoba, Nana and Sofer, Tamar and Alver, Maris and Amini, Marzyeh and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Gandin, Ilaria and Gao, Chuan and Giulianini, Franco and Goel, Anuj and Harris, Sarah E and Hartwig, Fernando Pires and Horimoto, Andrea R V R and Hsu, Fang-Chi and Jackson, Anne U and K{\"a}h{\"o}nen, Mika and Kasturiratne, Anuradhani and Kuhnel, Brigitte and Leander, Karin and Lee, Wen-Jane and Lin, Keng-Hung and {\textquoteright}an Luan, Jian and McKenzie, Colin A and Meian, He and Nelson, Christopher P and Rauramaa, Rainer and Schupf, Nicole and Scott, Robert A and Sheu, Wayne H H and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and van der Most, Peter J and Varga, Tibor V and Wang, Heming and Wang, Yajuan and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Afaq, Saima and Alfred, Tamuno and Amin, Najaf and Arking, Dan and Aung, Tin and Barr, R Graham and Bielak, Lawrence F and Boerwinkle, Eric and Bottinger, Erwin P and Braund, Peter S and Brody, Jennifer A and Broeckel, Ulrich and Cabrera, Claudia P and Cade, Brian and Caizheng, Yu and Campbell, Archie and Canouil, Micka{\"e}l and Chakravarti, Aravinda and Chauhan, Ganesh and Christensen, Kaare and Cocca, Massimiliano and Collins, Francis S and Connell, John M and de Mutsert, Ren{\'e}e and de Silva, H Janaka and Debette, Stephanie and D{\"o}rr, Marcus and Duan, Qing and Eaton, Charles B and Ehret, Georg and Evangelou, Evangelos and Faul, Jessica D and Fisher, Virginia A and Forouhi, Nita G and Franco, Oscar H and Friedlander, Yechiel and Gao, He and Gigante, Bruna and Graff, Misa and Gu, C Charles and Gu, Dongfeng and Gupta, Preeti and Hagenaars, Saskia P and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Hofman, Albert and Howard, Barbara V and Hunt, Steven and Irvin, Marguerite R and Jia, Yucheng and Joehanes, Roby and Justice, Anne E and Katsuya, Tomohiro and Kaufman, Joel and Kerrison, Nicola D and Khor, Chiea Chuen and Koh, Woon-Puay and Koistinen, Heikki A and Komulainen, Pirjo and Kooperberg, Charles and Krieger, Jose E and Kubo, Michiaki and Kuusisto, Johanna and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lewis, Cora E and Li, Yize and Lim, Sing Hui and Lin, Shiow and Liu, Ching-Ti and Liu, Jianjun and Liu, Jingmin and Liu, Kiang and Liu, Yeheng and Loh, Marie and Lohman, Kurt K and Long, Jirong and Louie, Tin and M{\"a}gi, Reedik and Mahajan, Anubha and Meitinger, Thomas and Metspalu, Andres and Milani, Lili and Momozawa, Yukihide and Morris, Andrew P and Mosley, Thomas H and Munson, Peter and Murray, Alison D and Nalls, Mike A and Nasri, Ubaydah and Norris, Jill M and North, Kari and Ogunniyi, Adesola and Padmanabhan, Sandosh and Palmas, Walter R and Palmer, Nicholette D and Pankow, James S and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Raitakari, Olli T and Renstrom, Frida and Rice, Treva K and Ridker, Paul M and Robino, Antonietta and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Sabanayagam, Charumathi and Salako, Babatunde L and Sandow, Kevin and Schmidt, Carsten O and Schreiner, Pamela J and Scott, William R and Seshadri, Sudha and Sever, Peter and Sitlani, Colleen M and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Tang, Hua and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Uitterlinden, Andr{\'e} G and Waldenberger, Melanie and Wang, Lihua and Wang, Ya X and Wei, Wen Bin and Williams, Christine and Wilson, Gregory and Wojczynski, Mary K and Yao, Jie and Yuan, Jian-Min and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Chen, Yii-Der Ida and de Faire, Ulf and Deary, Ian J and Esko, T{\~o}nu and Farrall, Martin and Forrester, Terrence and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Horta, Bernardo Lessa and Hung, Yi-Jen and Jonas, Jost B and Kato, Norihiro and Kooner, Jaspal S and Laakso, Markku and Lehtim{\"a}ki, Terho and Liang, Kae-Woei and Magnusson, Patrik K E and Newman, Anne B and Oldehinkel, Albertine J and Pereira, Alexandre C and Redline, Susan and Rettig, Rainer and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Wu, Tangchun and Zheng, Wei and Kamatani, Yoichiro and Laurie, Cathy C and Bouchard, Claude and Cooper, Richard S and Evans, Michele K and Gudnason, Vilmundur and Kardia, Sharon L R and Kritchevsky, Stephen B and Levy, Daniel and O{\textquoteright}Connell, Jeff R and Psaty, Bruce M and van Dam, Rob M and Sims, Mario and Arnett, Donna K and Mook-Kanamori, Dennis O and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and Fornage, Myriam and Rotimi, Charles N and Province, Michael A and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Loos, Ruth J F and Reiner, Alex P and Rotter, Jerome I and Zhu, Xiaofeng and Bierut, Laura J and Gauderman, W James and Caulfield, Mark J and Elliott, Paul and Rice, Kenneth and Munroe, Patricia B and Morrison, Alanna C and Cupples, L Adrienne and Rao, Dabeeru C and Chasman, Daniel I} } @article {7775, title = {Meta-analysis across Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium provides evidence for an association of serum vitamin D with pulmonary function.}, journal = {Br J Nutr}, year = {2018}, month = {2018 Sep 12}, pages = {1-12}, abstract = {

The role that vitamin D plays in pulmonary function remains uncertain. Epidemiological studies reported mixed findings for serum 25-hydroxyvitamin D (25(OH)D)-pulmonary function association. We conducted the largest cross-sectional meta-analysis of the 25(OH)D-pulmonary function association to date, based on nine European ancestry (EA) cohorts (n 22 838) and five African ancestry (AA) cohorts (n 4290) in the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. Data were analysed using linear models by cohort and ancestry. Effect modification by smoking status (current/former/never) was tested. Results were combined using fixed-effects meta-analysis. Mean serum 25(OH)D was 68 (sd 29) nmol/l for EA and 49 (sd 21) nmol/l for AA. For each 1 nmol/l higher 25(OH)D, forced expiratory volume in the 1st second (FEV1) was higher by 1{\textperiodcentered}1 ml in EA (95 \% CI 0{\textperiodcentered}9, 1{\textperiodcentered}3; P<0{\textperiodcentered}0001) and 1{\textperiodcentered}8 ml (95 \% CI 1{\textperiodcentered}1, 2{\textperiodcentered}5; P<0{\textperiodcentered}0001) in AA (P race difference=0{\textperiodcentered}06), and forced vital capacity (FVC) was higher by 1{\textperiodcentered}3 ml in EA (95 \% CI 1{\textperiodcentered}0, 1{\textperiodcentered}6; P<0{\textperiodcentered}0001) and 1{\textperiodcentered}5 ml (95 \% CI 0{\textperiodcentered}8, 2{\textperiodcentered}3; P=0{\textperiodcentered}0001) in AA (P race difference=0{\textperiodcentered}56). Among EA, the 25(OH)D-FVC association was stronger in smokers: per 1 nmol/l higher 25(OH)D, FVC was higher by 1{\textperiodcentered}7 ml (95 \% CI 1{\textperiodcentered}1, 2{\textperiodcentered}3) for current smokers and 1{\textperiodcentered}7 ml (95 \% CI 1{\textperiodcentered}2, 2{\textperiodcentered}1) for former smokers, compared with 0{\textperiodcentered}8 ml (95 \% CI 0{\textperiodcentered}4, 1{\textperiodcentered}2) for never smokers. In summary, the 25(OH)D associations with FEV1 and FVC were positive in both ancestries. In EA, a stronger association was observed for smokers compared with never smokers, which supports the importance of vitamin D in vulnerable populations.

}, issn = {1475-2662}, doi = {10.1017/S0007114518002180}, author = {Xu, Jiayi and Bartz, Traci M and Chittoor, Geetha and Eiriksdottir, Gudny and Manichaikul, Ani W and Sun, Fangui and Terzikhan, Natalie and Zhou, Xia and Booth, Sarah L and Brusselle, Guy G and de Boer, Ian H and Fornage, Myriam and Frazier-Wood, Alexis C and Graff, Mariaelisa and Gudnason, Vilmundur and Harris, Tamara B and Hofman, Albert and Hou, Ruixue and Houston, Denise K and Jacobs, David R and Kritchevsky, Stephen B and Latourelle, Jeanne and Lemaitre, Rozenn N and Lutsey, Pamela L and O{\textquoteright}Connor, George and Oelsner, Elizabeth C and Pankow, James S and Psaty, Bruce M and Rohde, Rebecca R and Rich, Stephen S and Rotter, Jerome I and Smith, Lewis J and Stricker, Bruno H and Voruganti, V Saroja and Wang, Thomas J and Zillikens, M Carola and Barr, R Graham and Dupuis, Jos{\'e}e and Gharib, Sina A and Lahousse, Lies and London, Stephanie J and North, Kari E and Smith, Albert V and Steffen, Lyn M and Hancock, Dana B and Cassano, Patricia A} } @article {7683, title = {Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Apr}, pages = {524-537}, abstract = {

Stroke has multiple etiologies, but the underlying genes and pathways are largely unknown. We conducted a multiancestry genome-wide-association meta-analysis in 521,612 individuals (67,162 cases and 454,450 controls) and discovered 22 new stroke risk loci, bringing the total to 32. We further found shared genetic variation with related vascular traits, including blood pressure, cardiac traits, and venous thromboembolism, at individual loci (n = 18), and~using genetic risk scores and linkage-disequilibrium-score regression. Several loci exhibited distinct association and pleiotropy patterns for etiological stroke subtypes. Eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets. Stroke risk loci were significantly enriched in drug targets for antithrombotic therapy.

}, issn = {1546-1718}, doi = {10.1038/s41588-018-0058-3}, author = {Malik, Rainer and Chauhan, Ganesh and Traylor, Matthew and Sargurupremraj, Muralidharan and Okada, Yukinori and Mishra, Aniket and Rutten-Jacobs, Loes and Giese, Anne-Katrin and van der Laan, Sander W and Gretarsdottir, Solveig and Anderson, Christopher D and Chong, Michael and Adams, Hieab H H and Ago, Tetsuro and Almgren, Peter and Amouyel, Philippe and Ay, Hakan and Bartz, Traci M and Benavente, Oscar R and Bevan, Steve and Boncoraglio, Giorgio B and Brown, Robert D and Butterworth, Adam S and Carrera, Caty and Carty, Cara L and Chasman, Daniel I and Chen, Wei-Min and Cole, John W and Correa, Adolfo and Cotlarciuc, Ioana and Cruchaga, Carlos and Danesh, John and de Bakker, Paul I W and DeStefano, Anita L and den Hoed, Marcel and Duan, Qing and Engelter, Stefan T and Falcone, Guido J and Gottesman, Rebecca F and Grewal, Raji P and Gudnason, Vilmundur and Gustafsson, Stefan and Haessler, Jeffrey and Harris, Tamara B and Hassan, Ahamad and Havulinna, Aki S and Heckbert, Susan R and Holliday, Elizabeth G and Howard, George and Hsu, Fang-Chi and Hyacinth, Hyacinth I and Ikram, M Arfan and Ingelsson, Erik and Irvin, Marguerite R and Jian, Xueqiu and Jimenez-Conde, Jordi and Johnson, Julie A and Jukema, J Wouter and Kanai, Masahiro and Keene, Keith L and Kissela, Brett M and Kleindorfer, Dawn O and Kooperberg, Charles and Kubo, Michiaki and Lange, Leslie A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lee, Jin-Moo and Lemmens, Robin and Leys, Didier and Lewis, Cathryn M and Lin, Wei-Yu and Lindgren, Arne G and Lorentzen, Erik and Magnusson, Patrik K and Maguire, Jane and Manichaikul, Ani and McArdle, Patrick F and Meschia, James F and Mitchell, Braxton D and Mosley, Thomas H and Nalls, Michael A and Ninomiya, Toshiharu and O{\textquoteright}Donnell, Martin J and Psaty, Bruce M and Pulit, Sara L and Rannikmae, Kristiina and Reiner, Alexander P and Rexrode, Kathryn M and Rice, Kenneth and Rich, Stephen S and Ridker, Paul M and Rost, Natalia S and Rothwell, Peter M and Rotter, Jerome I and Rundek, Tatjana and Sacco, Ralph L and Sakaue, Saori and Sale, Mich{\`e}le M and Salomaa, Veikko and Sapkota, Bishwa R and Schmidt, Reinhold and Schmidt, Carsten O and Schminke, Ulf and Sharma, Pankaj and Slowik, Agnieszka and Sudlow, Cathie L M and Tanislav, Christian and Tatlisumak, Turgut and Taylor, Kent D and Thijs, Vincent N S and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tiedt, Steffen and Trompet, Stella and Tzourio, Christophe and van Duijn, Cornelia M and Walters, Matthew and Wareham, Nicholas J and Wassertheil-Smoller, Sylvia and Wilson, James G and Wiggins, Kerri L and Yang, Qiong and Yusuf, Salim and Bis, Joshua C and Pastinen, Tomi and Ruusalepp, Arno and Schadt, Eric E and Koplev, Simon and Bj{\"o}rkegren, Johan L M and Codoni, Veronica and Civelek, Mete and Smith, Nicholas L and Tr{\'e}gou{\"e}t, David A and Christophersen, Ingrid E and Roselli, Carolina and Lubitz, Steven A and Ellinor, Patrick T and Tai, E Shyong and Kooner, Jaspal S and Kato, Norihiro and He, Jiang and van der Harst, Pim and Elliott, Paul and Chambers, John C and Takeuchi, Fumihiko and Johnson, Andrew D and Sanghera, Dharambir K and Melander, Olle and Jern, Christina and Strbian, Daniel and Fernandez-Cadenas, Israel and Longstreth, W T and Rolfs, Arndt and Hata, Jun and Woo, Daniel and Rosand, Jonathan and Par{\'e}, Guillaume and Hopewell, Jemma C and Saleheen, Danish and Stefansson, Kari and Worrall, Bradford B and Kittner, Steven J and Seshadri, Sudha and Fornage, Myriam and Markus, Hugh S and Howson, Joanna M M and Kamatani, Yoichiro and Debette, Stephanie and Dichgans, Martin and Malik, Rainer and Chauhan, Ganesh and Traylor, Matthew and Sargurupremraj, Muralidharan and Okada, Yukinori and Mishra, Aniket and Rutten-Jacobs, Loes and Giese, Anne-Katrin and van der Laan, Sander W and Gretarsdottir, Solveig and Anderson, Christopher D and Chong, Michael and Adams, Hieab H H and Ago, Tetsuro and Almgren, Peter and Amouyel, Philippe and Ay, Hakan and Bartz, Traci M and Benavente, Oscar R and Bevan, Steve and Boncoraglio, Giorgio B and Brown, Robert D and Butterworth, Adam S and Carrera, Caty and Carty, Cara L and Chasman, Daniel I and Chen, Wei-Min and Cole, John W and Correa, Adolfo and Cotlarciuc, Ioana and Cruchaga, Carlos and Danesh, John and de Bakker, Paul I W and DeStefano, Anita L and Hoed, Marcel den and Duan, Qing and Engelter, Stefan T and Falcone, Guido J and Gottesman, Rebecca F and Grewal, Raji P and Gudnason, Vilmundur and Gustafsson, Stefan and Haessler, Jeffrey and Harris, Tamara B and Hassan, Ahamad and Havulinna, Aki S and Heckbert, Susan R and Holliday, Elizabeth G and Howard, George and Hsu, Fang-Chi and Hyacinth, Hyacinth I and Ikram, M Arfan and Ingelsson, Erik and Irvin, Marguerite R and Jian, Xueqiu and Jimenez-Conde, Jordi and Johnson, Julie A and Jukema, J Wouter and Kanai, Masahiro and Keene, Keith L and Kissela, Brett M and Kleindorfer, Dawn O and Kooperberg, Charles and Kubo, Michiaki and Lange, Leslie A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lee, Jin-Moo and Lemmens, Robin and Leys, Didier and Lewis, Cathryn M and Lin, Wei-Yu and Lindgren, Arne G and Lorentzen, Erik and Magnusson, Patrik K and Maguire, Jane and Manichaikul, Ani and McArdle, Patrick F and Meschia, James F and Mitchell, Braxton D and Mosley, Thomas H and Nalls, Michael A and Ninomiya, Toshiharu and O{\textquoteright}Donnell, Martin J and Psaty, Bruce M and Pulit, Sara L and Rannikmae, Kristiina and Reiner, Alexander P and Rexrode, Kathryn M and Rice, Kenneth and Rich, Stephen S and Ridker, Paul M and Rost, Natalia S and Rothwell, Peter M and Rotter, Jerome I and Rundek, Tatjana and Sacco, Ralph L and Sakaue, Saori and Sale, Mich{\`e}le M and Salomaa, Veikko and Sapkota, Bishwa R and Schmidt, Reinhold and Schmidt, Carsten O and Schminke, Ulf and Sharma, Pankaj and Slowik, Agnieszka and Sudlow, Cathie L M and Tanislav, Christian and Tatlisumak, Turgut and Taylor, Kent D and Thijs, Vincent N S and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tiedt, Steffen and Trompet, Stella and Tzourio, Christophe and van Duijn, Cornelia M and Walters, Matthew and Wareham, Nicholas J and Wassertheil-Smoller, Sylvia and Wilson, James G and Wiggins, Kerri L and Yang, Qiong and Yusuf, Salim and Amin, Najaf and Aparicio, Hugo S and Arnett, Donna K and Attia, John and Beiser, Alexa S and Berr, Claudine and Buring, Julie E and Bustamante, Mariana and Caso, Valeria and Cheng, Yu-Ching and Choi, Seung Hoan and Chowhan, Ayesha and Cullell, Natalia and Dartigues, Jean-Fran{\c c}ois and Delavaran, Hossein and Delgado, Pilar and D{\"o}rr, Marcus and Engstr{\"o}m, Gunnar and Ford, Ian and Gurpreet, Wander S and Hamsten, Anders and Heitsch, Laura and Hozawa, Atsushi and Ibanez, Laura and Ilinca, Andreea and Ingelsson, Martin and Iwasaki, Motoki and Jackson, Rebecca D and Jood, Katarina and Jousilahti, Pekka and Kaffashian, Sara and Kalra, Lalit and Kamouchi, Masahiro and Kitazono, Takanari and Kjartansson, Olafur and Kloss, Manja and Koudstaal, Peter J and Krupinski, Jerzy and Labovitz, Daniel L and Laurie, Cathy C and Levi, Christopher R and Li, Linxin and Lind, Lars and Lindgren, Cecilia M and Lioutas, Vasileios and Liu, Yong Mei and Lopez, Oscar L and Makoto, Hirata and Martinez-Majander, Nicolas and Matsuda, Koichi and Minegishi, Naoko and Montaner, Joan and Morris, Andrew P and Mui{\~n}o, Elena and M{\"u}ller-Nurasyid, Martina and Norrving, Bo and Ogishima, Soichi and Parati, Eugenio A and Peddareddygari, Leema Reddy and Pedersen, Nancy L and Pera, Joanna and Perola, Markus and Pezzini, Alessandro and Pileggi, Silvana and Rabionet, Raquel and Riba-Llena, Iolanda and Ribas{\'e}s, Marta and Romero, Jose R and Roquer, Jaume and Rudd, Anthony G and Sarin, Antti-Pekka and Sarju, Ralhan and Sarnowski, Chloe and Sasaki, Makoto and Satizabal, Claudia L and Satoh, Mamoru and Sattar, Naveed and Sawada, Norie and Sibolt, Gerli and Sigurdsson, {\'A}sgeir and Smith, Albert and Sobue, Kenji and Soriano-T{\'a}rraga, Carolina and Stanne, Tara and Stine, O Colin and Stott, David J and Strauch, Konstantin and Takai, Takako and Tanaka, Hideo and Tanno, Kozo and Teumer, Alexander and Tomppo, Liisa and Torres-Aguila, Nuria P and Touze, Emmanuel and Tsugane, Shoichiro and Uitterlinden, Andr{\'e} G and Valdimarsson, Einar M and van der Lee, Sven J and V{\"o}lzke, Henry and Wakai, Kenji and Weir, David and Williams, Stephen R and Wolfe, Charles D A and Wong, Quenna and Xu, Huichun and Yamaji, Taiki and Sanghera, Dharambir K and Melander, Olle and Jern, Christina and Strbian, Daniel and Fernandez-Cadenas, Israel and Longstreth, W T and Rolfs, Arndt and Hata, Jun and Woo, Daniel and Rosand, Jonathan and Par{\'e}, Guillaume and Hopewell, Jemma C and Saleheen, Danish and Stefansson, Kari and Worrall, Bradford B and Kittner, Steven J and Seshadri, Sudha and Fornage, Myriam and Markus, Hugh S and Howson, Joanna M M and Kamatani, Yoichiro and Debette, Stephanie and Dichgans, Martin} } @article {7819, title = {Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Jul 30}, pages = {2976}, abstract = {

Nearly 100 loci have been identified for pulmonary function, almost exclusively in studies of European ancestry populations. We extend previous research by meta-analyzing genome-wide association studies of 1000 Genomes imputed variants in relation to pulmonary function in a multiethnic population of 90,715 individuals of European (N = 60,552), African (N = 8429), Asian (N = 9959), and Hispanic/Latino (N = 11,775) ethnicities. We identify over 50 additional loci at genome-wide significance in ancestry-specific or multiethnic meta-analyses. Using recent fine-mapping methods incorporating functional annotation, gene expression, and differences in linkage disequilibrium between ethnicities, we further shed light on potential causal variants and genes at known and newly identified loci. Several of the novel genes encode proteins with predicted or established drug targets, including KCNK2 and CDK12. Our study highlights the utility of multiethnic and integrative genomics approaches to extend existing knowledge of the genetics of lung function and clinical relevance of implicated loci.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-05369-0}, author = {Wyss, Annah B and Sofer, Tamar and Lee, Mi Kyeong and Terzikhan, Natalie and Nguyen, Jennifer N and Lahousse, Lies and Latourelle, Jeanne C and Smith, Albert Vernon and Bartz, Traci M and Feitosa, Mary F and Gao, Wei and Ahluwalia, Tarunveer S and Tang, Wenbo and Oldmeadow, Christopher and Duan, Qing and de Jong, Kim and Wojczynski, Mary K and Wang, Xin-Qun and Noordam, Raymond and Hartwig, Fernando Pires and Jackson, Victoria E and Wang, Tianyuan and Obeidat, Ma{\textquoteright}en and Hobbs, Brian D and Huan, Tianxiao and Gui, Hongsheng and Parker, Margaret M and Hu, Donglei and Mogil, Lauren S and Kichaev, Gleb and Jin, Jianping and Graff, Mariaelisa and Harris, Tamara B and Kalhan, Ravi and Heckbert, Susan R and Paternoster, Lavinia and Burkart, Kristin M and Liu, Yongmei and Holliday, Elizabeth G and Wilson, James G and Vonk, Judith M and Sanders, Jason L and Barr, R Graham and de Mutsert, Ren{\'e}e and Menezes, Ana Maria Baptista and Adams, Hieab H H and van den Berge, Maarten and Joehanes, Roby and Levin, Albert M and Liberto, Jennifer and Launer, Lenore J and Morrison, Alanna C and Sitlani, Colleen M and Celed{\'o}n, Juan C and Kritchevsky, Stephen B and Scott, Rodney J and Christensen, Kaare and Rotter, Jerome I and Bonten, Tobias N and Wehrmeister, Fernando C{\'e}sar and Boss{\'e}, Yohan and Xiao, Shujie and Oh, Sam and Franceschini, Nora and Brody, Jennifer A and Kaplan, Robert C and Lohman, Kurt and McEvoy, Mark and Province, Michael A and Rosendaal, Frits R and Taylor, Kent D and Nickle, David C and Williams, L Keoki and Burchard, Esteban G and Wheeler, Heather E and Sin, Don D and Gudnason, Vilmundur and North, Kari E and Fornage, Myriam and Psaty, Bruce M and Myers, Richard H and O{\textquoteright}Connor, George and Hansen, Torben and Laurie, Cathy C and Cassano, Patricia A and Sung, Joohon and Kim, Woo Jin and Attia, John R and Lange, Leslie and Boezen, H Marike and Thyagarajan, Bharat and Rich, Stephen S and Mook-Kanamori, Dennis O and Horta, Bernardo Lessa and Uitterlinden, Andr{\'e} G and Im, Hae Kyung and Cho, Michael H and Brusselle, Guy G and Gharib, Sina A and Dupuis, Jos{\'e}e and Manichaikul, Ani and London, Stephanie J} } @article {7792, title = {Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0198166}, abstract = {

Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0198166}, author = {Feitosa, Mary F and Kraja, Aldi T and Chasman, Daniel I and Sung, Yun J and Winkler, Thomas W and Ntalla, Ioanna and Guo, Xiuqing and Franceschini, Nora and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Marten, Jonathan and Musani, Solomon K and Li, Changwei and Bentley, Amy R and Brown, Michael R and Schwander, Karen and Richard, Melissa A and Noordam, Raymond and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Dorajoo, Rajkumar and Fisher, Virginia and Hartwig, Fernando P and Horimoto, Andrea R V R and Lohman, Kurt K and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert V and Tajuddin, Salman M and Wojczynski, Mary K and Alver, Maris and Boissel, Mathilde and Cai, Qiuyin and Campbell, Archie and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Gao, Chuan and Goel, Anuj and Hagemeijer, Yanick and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Jackson, Anne U and K{\"a}h{\"o}nen, Mika and Kasturiratne, Anuradhani and Komulainen, Pirjo and Kuhnel, Brigitte and Laguzzi, Federica and Luan, Jian{\textquoteright}an and Matoba, Nana and Nolte, Ilja M and Padmanabhan, Sandosh and Riaz, Muhammad and Rueedi, Rico and Robino, Antonietta and Said, M Abdullah and Scott, Robert A and Sofer, Tamar and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Varga, Tibor V and Vitart, Veronique and Wang, Yajuan and Ware, Erin B and Warren, Helen R and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Afaq, Saima and Amin, Najaf and Amini, Marzyeh and Arking, Dan E and Aung, Tin and Boerwinkle, Eric and Borecki, Ingrid and Broeckel, Ulrich and Brown, Morris and Brumat, Marco and Burke, Gregory L and Canouil, Micka{\"e}l and Chakravarti, Aravinda and Charumathi, Sabanayagam and Ida Chen, Yii-Der and Connell, John M and Correa, Adolfo and de Las Fuentes, Lisa and de Mutsert, Ren{\'e}e and de Silva, H Janaka and Deng, Xuan and Ding, Jingzhong and Duan, Qing and Eaton, Charles B and Ehret, Georg and Eppinga, Ruben N and Evangelou, Evangelos and Faul, Jessica D and Felix, Stephan B and Forouhi, Nita G and Forrester, Terrence and Franco, Oscar H and Friedlander, Yechiel and Gandin, Ilaria and Gao, He and Ghanbari, Mohsen and Gigante, Bruna and Gu, C Charles and Gu, Dongfeng and Hagenaars, Saskia P and Hallmans, G{\"o}ran and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Howard, Barbara V and Ikram, M Arfan and John, Ulrich and Katsuya, Tomohiro and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Krieger, Jose E and Kritchevsky, Stephen B and Kubo, Michiaki and Kuusisto, Johanna and Lakka, Timo A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lewis, Cora E and Li, Yize and Lin, Shiow and Liu, Jianjun and Liu, Jingmin and Loh, Marie and Louie, Tin and M{\"a}gi, Reedik and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mohlke, Karen L and Momozawa, Yukihide and Nalls, Mike A and Nelson, Christopher P and Sotoodehnia, Nona and Norris, Jill M and O{\textquoteright}Connell, Jeff R and Palmer, Nicholette D and Perls, Thomas and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Poulter, Neil and Raffel, Leslie J and Raitakari, Olli T and Roll, Kathryn and Rose, Lynda M and Rosendaal, Frits R and Rotter, Jerome I and Schmidt, Carsten O and Schreiner, Pamela J and Schupf, Nicole and Scott, William R and Sever, Peter S and Shi, Yuan and Sidney, Stephen and Sims, Mario and Sitlani, Colleen M and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Stringham, Heather M and Tan, Nicholas Y Q and Tang, Hua and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Turner, Stephen T and Uitterlinden, Andr{\'e} G and Vollenweider, Peter and Waldenberger, Melanie and Wang, Lihua and Wang, Ya Xing and Wei, Wen Bin and Williams, Christine and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Deary, Ian J and Esko, T{\~o}nu and Farrall, Martin and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Jonas, Jost Bruno and Kamatani, Yoichiro and Kato, Norihiro and Kooner, Jaspal S and Kutalik, Zolt{\'a}n and Laakso, Markku and Laurie, Cathy C and Leander, Karin and Lehtim{\"a}ki, Terho and Study, Lifelines Cohort and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Polasek, Ozren and Porteous, David J and Rauramaa, Rainer and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Wu, Tangchun and Zheng, Wei and Bouchard, Claude and Christensen, Kaare and Evans, Michele K and Gudnason, Vilmundur and Horta, Bernardo L and Kardia, Sharon L R and Liu, Yongmei and Pereira, Alexandre C and Psaty, Bruce M and Ridker, Paul M and van Dam, Rob M and Gauderman, W James and Zhu, Xiaofeng and Mook-Kanamori, Dennis O and Fornage, Myriam and Rotimi, Charles N and Cupples, L Adrienne and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Kooperberg, Charles and Palmas, Walter and Rice, Kenneth and Morrison, Alanna C and Elliott, Paul and Caulfield, Mark J and Munroe, Patricia B and Rao, Dabeeru C and Province, Michael A and Levy, Daniel} } @article {7776, title = {Omega-3 Fatty Acids and Genome-wide Interaction Analyses Reveal DPP10-Pulmonary Function Association.}, journal = {Am J Respir Crit Care Med}, year = {2018}, month = {2018 Sep 10}, abstract = {

RATIONALE: Omega-3 poly-unsaturated fatty acids (n-3 PUFAs) have anti-inflammatory properties that could benefit adults with comprised pulmonary health.

OBJECTIVE: To investigate n-3 PUFA associations with spirometric measures of pulmonary function tests (PFTs) and determine underlying genetic susceptibility.

METHODS: Associations of n-3 PUFA biomarkers (alpha-linolenic acid, eicosapentaenoic acid, docosapentaenoic acid [DPA], and docosahexaenoic acid [DHA]) were evaluated with PFTs (forced expiratory volume in the first second [FEV], forced vital capacity [FVC], and [FEV/FVC]) in meta-analyses across seven cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (N=16,134 of European or African ancestry). PFT-associated n-3 PUFAs were carried forward to genome-wide interaction analyses in the four largest cohorts (N=11,962) and replicated in one cohort (N=1,687). Cohort-specific results were combined using joint 2 degree-of-freedom (2df) meta-analyses of single nucleotide polymorphism (SNP) associations and their interactions with n-3 PUFAs.

RESULTS: DPA and DHA were positively associated with FEV1 and FVC (P<0.025), with evidence for effect modification by smoking and by sex. Genome-wide analyses identified a novel association of rs11693320-an intronic DPP10 SNP-with FVC when incorporating an interaction with DHA, and the finding was replicated (P=9.4{\texttimes}10 across discovery and replication cohorts). The rs11693320-A allele (frequency~80\%) was associated with lower FVC (P=2.1{\texttimes}10; β= -161.0mL), and the association was attenuated by higher DHA levels (P=2.1{\texttimes}10; β=36.2mL).

CONCLUSIONS: We corroborated beneficial effects of n-3 PUFAs on pulmonary function. By modeling genome-wide n-3 PUFA interactions, we identified a novel DPP10 SNP association with FVC that was not detectable in much larger studies ignoring this interaction.

}, issn = {1535-4970}, doi = {10.1164/rccm.201802-0304OC}, author = {Xu, Jiayi and Gaddis, Nathan C and Bartz, Traci M and Hou, Ruixue and Manichaikul, Ani W and Pankratz, Nathan and Smith, Albert V and Sun, Fangui and Terzikhan, Natalie and Markunas, Christina A and Patchen, Bonnie K and Schu, Matthew and Beydoun, May A and Brusselle, Guy G and Eiriksdottir, Gudny and Zhou, Xia and Wood, Alexis C and Graff, Mariaelisa and Harris, Tamara B and Ikram, M Arfan and Jacobs, David R and Launer, Lenore J and Lemaitre, Rozenn N and O{\textquoteright}Connor, George and Oelsner, Elizabeth C and Psaty, Bruce M and Ramachandran, Vasan S and Rohde, Rebecca R and Rich, Stephen S and Rotter, Jerome I and Seshadri, Sudha and Smith, Lewis J and Tiemeier, Henning and Tsai, Michael Y and Uitterlinden, Andr{\'e} G and Voruganti, V Saroja and Xu, Hanfei and Zilh{\~a}o, Nuno R and Fornage, Myriam and Zillikens, M Carola and London, Stephanie J and Barr, R Graham and Dupuis, Jos{\'e}e and Gharib, Sina A and Gudnason, Vilmundur and Lahousse, Lies and North, Kari E and Steffen, Lyn M and Cassano, Patricia A and Hancock, Dana B} } @article {7785, title = {Whole exome sequencing study identifies novel rare and common Alzheimer{\textquoteright}s-Associated variants involved in immune response and transcriptional regulation.}, journal = {Mol Psychiatry}, year = {2018}, month = {2018 Aug 14}, abstract = {

The Alzheimer{\textquoteright}s Disease Sequencing Project (ADSP) undertook whole exome sequencing in 5,740 late-onset Alzheimer disease (AD) cases and 5,096 cognitively normal controls primarily of European ancestry (EA), among whom 218 cases and 177 controls were Caribbean Hispanic (CH). An age-, sex- and APOE based risk score and family history were used to select cases most likely to harbor novel AD risk variants and controls least likely to develop AD by age 85 years. We tested ~1.5 million single nucleotide variants (SNVs) and 50,000 insertion-deletion polymorphisms (indels) for association to AD, using multiple models considering individual variants as well as gene-based tests aggregating rare, predicted functional, and loss of function variants. Sixteen single variants and 19 genes that met criteria for significant or suggestive associations after multiple-testing correction were evaluated for replication in four independent samples; three with whole exome sequencing (2,778 cases, 7,262 controls) and one with genome-wide genotyping imputed to the Haplotype Reference Consortium panel (9,343 cases, 11,527 controls). The top findings in the discovery sample were also followed-up in the ADSP whole-genome sequenced family-based dataset (197 members of 42 EA families and 501 members of 157 CH families). We identified novel and predicted functional genetic variants in genes previously associated with AD. We also detected associations in three novel genes: IGHG3 (p = 9.8 {\texttimes} 10), an immunoglobulin gene whose antibodies interact with β-amyloid, a long non-coding RNA AC099552.4 (p = 1.2 {\texttimes} 10), and a zinc-finger protein ZNF655 (gene-based p = 5.0 {\texttimes} 10). The latter two suggest an important role for transcriptional regulation in AD pathogenesis.

}, issn = {1476-5578}, doi = {10.1038/s41380-018-0112-7}, author = {Bis, Joshua C and Jian, Xueqiu and Kunkle, Brian W and Chen, Yuning and Hamilton-Nelson, Kara L and Bush, William S and Salerno, William J and Lancour, Daniel and Ma, Yiyi and Renton, Alan E and Marcora, Edoardo and Farrell, John J and Zhao, Yi and Qu, Liming and Ahmad, Shahzad and Amin, Najaf and Amouyel, Philippe and Beecham, Gary W and Below, Jennifer E and Campion, Dominique and Charbonnier, Camille and Chung, Jaeyoon and Crane, Paul K and Cruchaga, Carlos and Cupples, L Adrienne and Dartigues, Jean-Fran{\c c}ois and Debette, Stephanie and Deleuze, Jean-Francois and Fulton, Lucinda and Gabriel, Stacey B and Genin, Emmanuelle and Gibbs, Richard A and Goate, Alison and Grenier-Boley, Benjamin and Gupta, Namrata and Haines, Jonathan L and Havulinna, Aki S and Helisalmi, Seppo and Hiltunen, Mikko and Howrigan, Daniel P and Ikram, M Arfan and Kaprio, Jaakko and Konrad, Jan and Kuzma, Amanda and Lander, Eric S and Lathrop, Mark and Lehtim{\"a}ki, Terho and Lin, Honghuang and Mattila, Kari and Mayeux, Richard and Muzny, Donna M and Nasser, Waleed and Neale, Benjamin and Nho, Kwangsik and Nicolas, Ga{\"e}l and Patel, Devanshi and Pericak-Vance, Margaret A and Perola, Markus and Psaty, Bruce M and Quenez, Olivier and Rajabli, Farid and Redon, Richard and Reitz, Christiane and Remes, Anne M and Salomaa, Veikko and Sarnowski, Chloe and Schmidt, Helena and Schmidt, Michael and Schmidt, Reinhold and Soininen, Hilkka and Thornton, Timothy A and Tosto, Giuseppe and Tzourio, Christophe and van der Lee, Sven J and van Duijn, Cornelia M and Vardarajan, Badri and Wang, Weixin and Wijsman, Ellen and Wilson, Richard K and Witten, Daniela and Worley, Kim C and Zhang, Xiaoling and Bellenguez, C{\'e}line and Lambert, Jean-Charles and Kurki, Mitja I and Palotie, Aarno and Daly, Mark and Boerwinkle, Eric and Lunetta, Kathryn L and DeStefano, Anita L and Dupuis, Jos{\'e}e and Martin, Eden R and Schellenberg, Gerard D and Seshadri, Sudha and Naj, Adam C and Fornage, Myriam and Farrer, Lindsay A} } @article {7989, title = {Association of variants in HTRA1 and NOTCH3 with MRI-defined extremes of cerebral small vessel disease in older subjects.}, journal = {Brain}, year = {2019}, month = {2019 Mar 11}, abstract = {

We report a composite extreme phenotype design using distribution of white matter hyperintensities and brain infarcts in a population-based cohort of older persons for gene-mapping of cerebral small vessel disease. We demonstrate its application in the 3C-Dijon whole exome sequencing (WES) study (n = 1924, nWESextremes = 512), with both single variant and gene-based association tests. We used other population-based cohort studies participating in the CHARGE consortium for replication, using whole exome sequencing (nWES = 2,868, nWESextremes = 956) and genome-wide genotypes (nGW = 9924, nGWextremes = 3308). We restricted our study to candidate genes known to harbour mutations for Mendelian small vessel disease: NOTCH3, HTRA1, COL4A1, COL4A2 and TREX1. We identified significant associations of a common intronic variant in HTRA1, rs2293871 using single variant association testing (Pdiscovery = 8.21 {\texttimes} 10-5, Preplication = 5.25 {\texttimes} 10-3, Pcombined = 4.72 {\texttimes} 10-5) and of NOTCH3 using gene-based tests (Pdiscovery = 1.61 {\texttimes} 10-2, Preplication = 3.99 {\texttimes} 10-2, Pcombined = 5.31 {\texttimes} 10-3). Follow-up analysis identified significant association of rs2293871 with small vessel ischaemic stroke, and two blood expression quantitative trait loci of HTRA1 in linkage disequilibrium. Additionally, we identified two participants in the 3C-Dijon cohort (0.4\%) carrying heterozygote genotypes at known pathogenic variants for familial small vessel disease within NOTCH3 and HTRA1. In conclusion, our proof-of-concept study provides strong evidence that using a novel composite MRI-derived phenotype for extremes of small vessel disease can facilitate the identification of genetic variants underlying small vessel disease, both common variants and those with rare and low frequency. The findings demonstrate shared mechanisms and a continuum between genes underlying Mendelian small vessel disease and those contributing to the common, multifactorial form of the disease.

}, issn = {1460-2156}, doi = {10.1093/brain/awz024}, author = {Mishra, Aniket and Chauhan, Ganesh and Violleau, Marie-Helene and Vojinovic, Dina and Jian, Xueqiu and Bis, Joshua C and Li, Shuo and Saba, Yasaman and Grenier-Boley, Benjamin and Yang, Qiong and Bartz, Traci M and Hofer, Edith and Soumar{\'e}, A{\"\i}cha and Peng, Fen and Duperron, Marie-Gabrielle and Foglio, Mario and Mosley, Thomas H and Schmidt, Reinhold and Psaty, Bruce M and Launer, Lenore J and Boerwinkle, Eric and Zhu, Yicheng and Mazoyer, Bernard and Lathrop, Mark and Bellenguez, C{\'e}line and van Duijn, Cornelia M and Ikram, M Arfan and Schmidt, Helena and Longstreth, W T and Fornage, Myriam and Seshadri, Sudha and Joutel, Anne and Tzourio, Christophe and Debette, Stephanie} } @article {8507, title = {Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease.}, journal = {Circulation}, volume = {140}, year = {2019}, month = {2019 08 20}, pages = {645-657}, abstract = {

BACKGROUND: DNA methylation is implicated in coronary heart disease (CHD), but current evidence is based on small, cross-sectional studies. We examined blood DNA methylation in relation to incident CHD across multiple prospective cohorts.

METHODS: Nine population-based cohorts from the United States and Europe profiled epigenome-wide blood leukocyte DNA methylation using the Illumina Infinium 450k microarray, and prospectively ascertained CHD events including coronary insufficiency/unstable angina, recognized myocardial infarction, coronary revascularization, and coronary death. Cohorts conducted race-specific analyses adjusted for age, sex, smoking, education, body mass index, blood cell type proportions, and technical variables. We conducted fixed-effect meta-analyses across cohorts.

RESULTS: Among 11 461 individuals (mean age 64 years, 67\% women, 35\% African American) free of CHD at baseline, 1895 developed CHD during a mean follow-up of 11.2 years. Methylation levels at 52 CpG (cytosine-phosphate-guanine) sites were associated with incident CHD or myocardial infarction (false discovery rate<0.05). These CpGs map to genes with key roles in calcium regulation (ATP2B2, CASR, GUCA1B, HPCAL1), and genes identified in genome- and epigenome-wide studies of serum calcium (CASR), serum calcium-related risk of CHD (CASR), coronary artery calcified plaque (PTPRN2), and kidney function (CDH23, HPCAL1), among others. Mendelian randomization analyses supported a causal effect of DNA methylation on incident CHD; these CpGs map to active regulatory regions proximal to long non-coding RNA transcripts.

CONCLUSION: Methylation of blood-derived DNA is associated with risk of future CHD across diverse populations and may serve as an informative tool for gaining further insight on the development of CHD.

}, keywords = {Adult, Aged, Cohort Studies, Coronary Disease, CpG Islands, DNA Methylation, Europe, Female, Genome-Wide Association Study, Humans, Incidence, Leukocytes, Male, Middle Aged, Myocardial Infarction, Population Groups, Prognosis, Prospective Studies, Risk, United States}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.118.039357}, author = {Agha, Golareh and Mendelson, Michael M and Ward-Caviness, Cavin K and Joehanes, Roby and Huan, Tianxiao and Gondalia, Rahul and Salfati, Elias and Brody, Jennifer A and Fiorito, Giovanni and Bressler, Jan and Chen, Brian H and Ligthart, Symen and Guarrera, Simonetta and Colicino, Elena and Just, Allan C and Wahl, Simone and Gieger, Christian and Vandiver, Amy R and Tanaka, Toshiko and Hernandez, Dena G and Pilling, Luke C and Singleton, Andrew B and Sacerdote, Carlotta and Krogh, Vittorio and Panico, Salvatore and Tumino, Rosario and Li, Yun and Zhang, Guosheng and Stewart, James D and Floyd, James S and Wiggins, Kerri L and Rotter, Jerome I and Multhaup, Michael and Bakulski, Kelly and Horvath, Steven and Tsao, Philip S and Absher, Devin M and Vokonas, Pantel and Hirschhorn, Joel and Fallin, M Daniele and Liu, Chunyu and Bandinelli, Stefania and Boerwinkle, Eric and Dehghan, Abbas and Schwartz, Joel D and Psaty, Bruce M and Feinberg, Andrew P and Hou, Lifang and Ferrucci, Luigi and Sotoodehnia, Nona and Matullo, Giuseppe and Peters, Annette and Fornage, Myriam and Assimes, Themistocles L and Whitsel, Eric A and Levy, Daniel and Baccarelli, Andrea A} } @article {8206, title = {Genetic architecture of subcortical brain structures in 38,851 individuals.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Nov}, pages = {1624-1636}, abstract = {

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0511-y}, author = {Satizabal, Claudia L and Adams, Hieab H H and Hibar, Derrek P and White, Charles C and Knol, Maria J and Stein, Jason L and Scholz, Markus and Sargurupremraj, Muralidharan and Jahanshad, Neda and Roshchupkin, Gennady V and Smith, Albert V and Bis, Joshua C and Jian, Xueqiu and Luciano, Michelle and Hofer, Edith and Teumer, Alexander and van der Lee, Sven J and Yang, Jingyun and Yanek, Lisa R and Lee, Tom V and Li, Shuo and Hu, Yanhui and Koh, Jia Yu and Eicher, John D and Desrivi{\`e}res, Sylvane and Arias-Vasquez, Alejandro and Chauhan, Ganesh and Athanasiu, Lavinia and Renter{\'\i}a, Miguel E and Kim, Sungeun and Hoehn, David and Armstrong, Nicola J and Chen, Qiang and Holmes, Avram J and den Braber, Anouk and Kloszewska, Iwona and Andersson, Micael and Espeseth, Thomas and Grimm, Oliver and Abramovic, Lucija and Alhusaini, Saud and Milaneschi, Yuri and Papmeyer, Martina and Axelsson, Tomas and Ehrlich, Stefan and Roiz-Santia{\~n}ez, Roberto and Kraemer, Bernd and H{\r a}berg, Asta K and Jones, Hannah J and Pike, G Bruce and Stein, Dan J and Stevens, Allison and Bralten, Janita and Vernooij, Meike W and Harris, Tamara B and Filippi, Irina and Witte, A Veronica and Guadalupe, Tulio and Wittfeld, Katharina and Mosley, Thomas H and Becker, James T and Doan, Nhat Trung and Hagenaars, Saskia P and Saba, Yasaman and Cuellar-Partida, Gabriel and Amin, Najaf and Hilal, Saima and Nho, Kwangsik and Mirza-Schreiber, Nazanin and Arfanakis, Konstantinos and Becker, Diane M and Ames, David and Goldman, Aaron L and Lee, Phil H and Boomsma, Dorret I and Lovestone, Simon and Giddaluru, Sudheer and Le Hellard, Stephanie and Mattheisen, Manuel and Bohlken, Marc M and Kasperaviciute, Dalia and Schmaal, Lianne and Lawrie, Stephen M and Agartz, Ingrid and Walton, Esther and Tordesillas-Gutierrez, Diana and Davies, Gareth E and Shin, Jean and Ipser, Jonathan C and Vinke, Louis N and Hoogman, Martine and Jia, Tianye and Burkhardt, Ralph and Klein, Marieke and Crivello, Fabrice and Janowitz, Deborah and Carmichael, Owen and Haukvik, Unn K and Aribisala, Benjamin S and Schmidt, Helena and Strike, Lachlan T and Cheng, Ching-Yu and Risacher, Shannon L and P{\"u}tz, Benno and Fleischman, Debra A and Assareh, Amelia A and Mattay, Venkata S and Buckner, Randy L and Mecocci, Patrizia and Dale, Anders M and Cichon, Sven and Boks, Marco P and Matarin, Mar and Penninx, Brenda W J H and Calhoun, Vince D and Chakravarty, M Mallar and Marquand, Andre F and Macare, Christine and Kharabian Masouleh, Shahrzad and Oosterlaan, Jaap and Amouyel, Philippe and Hegenscheid, Katrin and Rotter, Jerome I and Schork, Andrew J and Liewald, David C M and de Zubicaray, Greig I and Wong, Tien Yin and Shen, Li and S{\"a}mann, Philipp G and Brodaty, Henry and Roffman, Joshua L and de Geus, Eco J C and Tsolaki, Magda and Erk, Susanne and van Eijk, Kristel R and Cavalleri, Gianpiero L and van der Wee, Nic J A and McIntosh, Andrew M and Gollub, Randy L and Bulayeva, Kazima B and Bernard, Manon and Richards, Jennifer S and Himali, Jayandra J and Loeffler, Markus and Rommelse, Nanda and Hoffmann, Wolfgang and Westlye, Lars T and Vald{\'e}s Hern{\'a}ndez, Maria C and Hansell, Narelle K and van Erp, Theo G M and Wolf, Christiane and Kwok, John B J and Vellas, Bruno and Heinz, Andreas and Olde Loohuis, Loes M and Delanty, Norman and Ho, Beng-Choon and Ching, Christopher R K and Shumskaya, Elena and Singh, Baljeet and Hofman, Albert and van der Meer, Dennis and Homuth, Georg and Psaty, Bruce M and Bastin, Mark E and Montgomery, Grant W and Foroud, Tatiana M and Reppermund, Simone and Hottenga, Jouke-Jan and Simmons, Andrew and Meyer-Lindenberg, Andreas and Cahn, Wiepke and Whelan, Christopher D and van Donkelaar, Marjolein M J and Yang, Qiong and Hosten, Norbert and Green, Robert C and Thalamuthu, Anbupalam and Mohnke, Sebastian and Hulshoff Pol, Hilleke E and Lin, Honghuang and Jack, Clifford R and Schofield, Peter R and M{\"u}hleisen, Thomas W and Maillard, Pauline and Potkin, Steven G and Wen, Wei and Fletcher, Evan and Toga, Arthur W and Gruber, Oliver and Huentelman, Matthew and Davey Smith, George and Launer, Lenore J and Nyberg, Lars and J{\"o}nsson, Erik G and Crespo-Facorro, Benedicto and Koen, Nastassja and Greve, Douglas N and Uitterlinden, Andr{\'e} G and Weinberger, Daniel R and Steen, Vidar M and Fedko, Iryna O and Groenewold, Nynke A and Niessen, Wiro J and Toro, Roberto and Tzourio, Christophe and Longstreth, William T and Ikram, M Kamran and Smoller, Jordan W and van Tol, Marie-Jose and Sussmann, Jessika E and Paus, Tom{\'a}{\v s} and Lema{\^\i}tre, Herv{\'e} and Schroeter, Matthias L and Mazoyer, Bernard and Andreassen, Ole A and Holsboer, Florian and Depondt, Chantal and Veltman, Dick J and Turner, Jessica A and Pausova, Zdenka and Schumann, Gunter and van Rooij, Daan and Djurovic, Srdjan and Deary, Ian J and McMahon, Katie L and M{\"u}ller-Myhsok, Bertram and Brouwer, Rachel M and Soininen, Hilkka and Pandolfo, Massimo and Wassink, Thomas H and Cheung, Joshua W and Wolfers, Thomas and Martinot, Jean-Luc and Zwiers, Marcel P and Nauck, Matthias and Melle, Ingrid and Martin, Nicholas G and Kanai, Ryota and Westman, Eric and Kahn, Ren{\'e} S and Sisodiya, Sanjay M and White, Tonya and Saremi, Arvin and van Bokhoven, Hans and Brunner, Han G and V{\"o}lzke, Henry and Wright, Margaret J and van {\textquoteright}t Ent, Dennis and N{\"o}then, Markus M and Ophoff, Roel A and Buitelaar, Jan K and Fern{\'a}ndez, Guill{\'e}n and Sachdev, Perminder S and Rietschel, Marcella and van Haren, Neeltje E M and Fisher, Simon E and Beiser, Alexa S and Francks, Clyde and Saykin, Andrew J and Mather, Karen A and Romanczuk-Seiferth, Nina and Hartman, Catharina A and DeStefano, Anita L and Heslenfeld, Dirk J and Weiner, Michael W and Walter, Henrik and Hoekstra, Pieter J and Nyquist, Paul A and Franke, Barbara and Bennett, David A and Grabe, Hans J and Johnson, Andrew D and Chen, Christopher and van Duijn, Cornelia M and Lopez, Oscar L and Fornage, Myriam and Wardlaw, Joanna M and Schmidt, Reinhold and DeCarli, Charles and De Jager, Philip L and Villringer, Arno and Debette, Stephanie and Gudnason, Vilmundur and Medland, Sarah E and Shulman, Joshua M and Thompson, Paul M and Seshadri, Sudha and Ikram, M Arfan} } @article {7977, title = {Genetic meta-analysis of diagnosed Alzheimer{\textquoteright}s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Mar}, pages = {414-430}, abstract = {

Risk for late-onset Alzheimer{\textquoteright}s disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer{\textquoteright}s or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer{\textquoteright}s disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 {\texttimes} 10), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0358-2}, author = {Kunkle, Brian W and Grenier-Boley, Benjamin and Sims, Rebecca and Bis, Joshua C and Damotte, Vincent and Naj, Adam C and Boland, Anne and Vronskaya, Maria and van der Lee, Sven J and Amlie-Wolf, Alexandre and Bellenguez, C{\'e}line and Frizatti, Aura and Chouraki, Vincent and Martin, Eden R and Sleegers, Kristel and Badarinarayan, Nandini and Jakobsdottir, Johanna and Hamilton-Nelson, Kara L and Moreno-Grau, Sonia and Olaso, Robert and Raybould, Rachel and Chen, Yuning and Kuzma, Amanda B and Hiltunen, Mikko and Morgan, Taniesha and Ahmad, Shahzad and Vardarajan, Badri N and Epelbaum, Jacques and Hoffmann, Per and Boada, Merce and Beecham, Gary W and Garnier, Jean-Guillaume and Harold, Denise and Fitzpatrick, Annette L and Valladares, Otto and Moutet, Marie-Laure and Gerrish, Amy and Smith, Albert V and Qu, Liming and Bacq, Delphine and Denning, Nicola and Jian, Xueqiu and Zhao, Yi and Del Zompo, Maria and Fox, Nick C and Choi, Seung-Hoan and Mateo, Ignacio and Hughes, Joseph T and Adams, Hieab H and Malamon, John and Sanchez-Garcia, Florentino and Patel, Yogen and Brody, Jennifer A and Dombroski, Beth A and Naranjo, Maria Candida Deniz and Daniilidou, Makrina and Eiriksdottir, Gudny and Mukherjee, Shubhabrata and Wallon, David and Uphill, James and Aspelund, Thor and Cantwell, Laura B and Garzia, Fabienne and Galimberti, Daniela and Hofer, Edith and Butkiewicz, Mariusz and Fin, Bertrand and Scarpini, Elio and Sarnowski, Chloe and Bush, Will S and Meslage, St{\'e}phane and Kornhuber, Johannes and White, Charles C and Song, Yuenjoo and Barber, Robert C and Engelborghs, Sebastiaan and Sordon, Sabrina and Voijnovic, Dina and Adams, Perrie M and Vandenberghe, Rik and Mayhaus, Manuel and Cupples, L Adrienne and Albert, Marilyn S and De Deyn, Peter P and Gu, Wei and Himali, Jayanadra J and Beekly, Duane and Squassina, Alessio and Hartmann, Annette M and Orellana, Adelina and Blacker, Deborah and Rodriguez-Rodriguez, Eloy and Lovestone, Simon and Garcia, Melissa E and Doody, Rachelle S and Munoz-Fernadez, Carmen and Sussams, Rebecca and Lin, Honghuang and Fairchild, Thomas J and Benito, Yolanda A and Holmes, Clive and Karamuji{\'c}-{\v C}omi{\'c}, Hata and Frosch, Matthew P and Thonberg, H{\r a}kan and Maier, Wolfgang and Roschupkin, Gena and Ghetti, Bernardino and Giedraitis, Vilmantas and Kawalia, Amit and Li, Shuo and Huebinger, Ryan M and Kilander, Lena and Moebus, Susanne and Hernandez, Isabel and Kamboh, M Ilyas and Brundin, RoseMarie and Turton, James and Yang, Qiong and Katz, Mindy J and Concari, Letizia and Lord, Jenny and Beiser, Alexa S and Keene, C Dirk and Helisalmi, Seppo and Kloszewska, Iwona and Kukull, Walter A and Koivisto, Anne Maria and Lynch, Aoibhinn and Tarraga, Lluis and Larson, Eric B and Haapasalo, Annakaisa and Lawlor, Brian and Mosley, Thomas H and Lipton, Richard B and Solfrizzi, Vincenzo and Gill, Michael and Longstreth, W T and Montine, Thomas J and Frisardi, Vincenza and Diez-Fairen, Monica and Rivadeneira, Fernando and Petersen, Ronald C and Deramecourt, Vincent and Alvarez, Ignacio and Salani, Francesca and Ciaramella, Antonio and Boerwinkle, Eric and Reiman, Eric M and Fi{\'e}vet, Nathalie and Rotter, Jerome I and Reisch, Joan S and Hanon, Olivier and Cupidi, Chiara and Andre Uitterlinden, A G and Royall, Donald R and Dufouil, Carole and Maletta, Raffaele Giovanni and de Rojas, Itziar and Sano, Mary and Brice, Alexis and Cecchetti, Roberta and George-Hyslop, Peter St and Ritchie, Karen and Tsolaki, Magda and Tsuang, Debby W and Dubois, Bruno and Craig, David and Wu, Chuang-Kuo and Soininen, Hilkka and Avramidou, Despoina and Albin, Roger L and Fratiglioni, Laura and Germanou, Antonia and Apostolova, Liana G and Keller, Lina and Koutroumani, Maria and Arnold, Steven E and Panza, Francesco and Gkatzima, Olymbia and Asthana, Sanjay and Hannequin, Didier and Whitehead, Patrice and Atwood, Craig S and Caffarra, Paolo and Hampel, Harald and Quintela, In{\'e}s and Carracedo, Angel and Lannfelt, Lars and Rubinsztein, David C and Barnes, Lisa L and Pasquier, Florence and Fr{\"o}lich, Lutz and Barral, Sandra and McGuinness, Bernadette and Beach, Thomas G and Johnston, Janet A and Becker, James T and Passmore, Peter and Bigio, Eileen H and Schott, Jonathan M and Bird, Thomas D and Warren, Jason D and Boeve, Bradley F and Lupton, Michelle K and Bowen, James D and Proitsi, Petra and Boxer, Adam and Powell, John F and Burke, James R and Kauwe, John S K and Burns, Jeffrey M and Mancuso, Michelangelo and Buxbaum, Joseph D and Bonuccelli, Ubaldo and Cairns, Nigel J and McQuillin, Andrew and Cao, Chuanhai and Livingston, Gill and Carlson, Chris S and Bass, Nicholas J and Carlsson, Cynthia M and Hardy, John and Carney, Regina M and Bras, Jose and Carrasquillo, Minerva M and Guerreiro, Rita and Allen, Mariet and Chui, Helena C and Fisher, Elizabeth and Masullo, Carlo and Crocco, Elizabeth A and DeCarli, Charles and Bisceglio, Gina and Dick, Malcolm and Ma, Li and Duara, Ranjan and Graff-Radford, Neill R and Evans, Denis A and Hodges, Angela and Faber, Kelley M and Scherer, Martin and Fallon, Kenneth B and Riemenschneider, Matthias and Fardo, David W and Heun, Reinhard and Farlow, Martin R and K{\"o}lsch, Heike and Ferris, Steven and Leber, Markus and Foroud, Tatiana M and Heuser, Isabella and Galasko, Douglas R and Giegling, Ina and Gearing, Marla and H{\"u}ll, Michael and Geschwind, Daniel H and Gilbert, John R and Morris, John and Green, Robert C and Mayo, Kevin and Growdon, John H and Feulner, Thomas and Hamilton, Ronald L and Harrell, Lindy E and Drichel, Dmitriy and Honig, Lawrence S and Cushion, Thomas D and Huentelman, Matthew J and Hollingworth, Paul and Hulette, Christine M and Hyman, Bradley T and Marshall, Rachel and Jarvik, Gail P and Meggy, Alun and Abner, Erin and Menzies, Georgina E and Jin, Lee-Way and Leonenko, Ganna and Real, Luis M and Jun, Gyungah R and Baldwin, Clinton T and Grozeva, Detelina and Karydas, Anna and Russo, Giancarlo and Kaye, Jeffrey A and Kim, Ronald and Jessen, Frank and Kowall, Neil W and Vellas, Bruno and Kramer, Joel H and Vardy, Emma and LaFerla, Frank M and J{\"o}ckel, Karl-Heinz and Lah, James J and Dichgans, Martin and Leverenz, James B and Mann, David and Levey, Allan I and Pickering-Brown, Stuart and Lieberman, Andrew P and Klopp, Norman and Lunetta, Kathryn L and Wichmann, H-Erich and Lyketsos, Constantine G and Morgan, Kevin and Marson, Daniel C and Brown, Kristelle and Martiniuk, Frank and Medway, Christopher and Mash, Deborah C and N{\"o}then, Markus M and Masliah, Eliezer and Hooper, Nigel M and McCormick, Wayne C and Daniele, Antonio and McCurry, Susan M and Bayer, Anthony and McDavid, Andrew N and Gallacher, John and McKee, Ann C and van den Bussche, Hendrik and Mesulam, Marsel and Brayne, Carol and Miller, Bruce L and Riedel-Heller, Steffi and Miller, Carol A and Miller, Joshua W and Al-Chalabi, Ammar and Morris, John C and Shaw, Christopher E and Myers, Amanda J and Wiltfang, Jens and O{\textquoteright}Bryant, Sid and Olichney, John M and Alvarez, Victoria and Parisi, Joseph E and Singleton, Andrew B and Paulson, Henry L and Collinge, John and Perry, William R and Mead, Simon and Peskind, Elaine and Cribbs, David H and Rossor, Martin and Pierce, Aimee and Ryan, Natalie S and Poon, Wayne W and Nacmias, Benedetta and Potter, Huntington and Sorbi, Sandro and Quinn, Joseph F and Sacchinelli, Eleonora and Raj, Ashok and Spalletta, Gianfranco and Raskind, Murray and Caltagirone, Carlo and Boss{\`u}, Paola and Orfei, Maria Donata and Reisberg, Barry and Clarke, Robert and Reitz, Christiane and Smith, A David and Ringman, John M and Warden, Donald and Roberson, Erik D and Wilcock, Gordon and Rogaeva, Ekaterina and Bruni, Amalia Cecilia and Rosen, Howard J and Gallo, Maura and Rosenberg, Roger N and Ben-Shlomo, Yoav and Sager, Mark A and Mecocci, Patrizia and Saykin, Andrew J and Pastor, Pau and Cuccaro, Michael L and Vance, Jeffery M and Schneider, Julie A and Schneider, Lori S and Slifer, Susan and Seeley, William W and Smith, Amanda G and Sonnen, Joshua A and Spina, Salvatore and Stern, Robert A and Swerdlow, Russell H and Tang, Mitchell and Tanzi, Rudolph E and Trojanowski, John Q and Troncoso, Juan C and Van Deerlin, Vivianna M and Van Eldik, Linda J and Vinters, Harry V and Vonsattel, Jean Paul and Weintraub, Sandra and Welsh-Bohmer, Kathleen A and Wilhelmsen, Kirk C and Williamson, Jennifer and Wingo, Thomas S and Woltjer, Randall L and Wright, Clinton B and Yu, Chang-En and Yu, Lei and Saba, Yasaman and Pilotto, Alberto and Bullido, Mar{\'\i}a J and Peters, Oliver and Crane, Paul K and Bennett, David and Bosco, Paola and Coto, Eliecer and Boccardi, Virginia and De Jager, Phil L and Lleo, Alberto and Warner, Nick and Lopez, Oscar L and Ingelsson, Martin and Deloukas, Panagiotis and Cruchaga, Carlos and Graff, Caroline and Gwilliam, Rhian and Fornage, Myriam and Goate, Alison M and S{\'a}nchez-Juan, Pascual and Kehoe, Patrick G and Amin, Najaf and Ertekin-Taner, Nilifur and Berr, Claudine and Debette, Stephanie and Love, Seth and Launer, Lenore J and Younkin, Steven G and Dartigues, Jean-Fran{\c c}ois and Corcoran, Chris and Ikram, M Arfan and Dickson, Dennis W and Nicolas, Ga{\"e}l and Campion, Dominique and Tschanz, JoAnn and Schmidt, Helena and Hakonarson, Hakon and Clarimon, Jordi and Munger, Ron and Schmidt, Reinhold and Farrer, Lindsay A and Van Broeckhoven, Christine and C O{\textquoteright}Donovan, Michael and DeStefano, Anita L and Jones, Lesley and Haines, Jonathan L and Deleuze, Jean-Francois and Owen, Michael J and Gudnason, Vilmundur and Mayeux, Richard and Escott-Price, Valentina and Psaty, Bruce M and Ramirez, Alfredo and Wang, Li-San and Ruiz, Agustin and van Duijn, Cornelia M and Holmans, Peter A and Seshadri, Sudha and Williams, Julie and Amouyel, Phillippe and Schellenberg, Gerard D and Lambert, Jean-Charles and Pericak-Vance, Margaret A} } @article {7988, title = {A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology.}, journal = {Blood}, volume = {133}, year = {2019}, month = {2019 Feb 28}, pages = {967-977}, abstract = {

Factor VII (FVII) is an important component of the coagulation cascade. Few genetic loci regulating FVII activity and/or levels have been discovered to date. We conducted a meta-analysis of 9 genome-wide association studies of plasma FVII levels (7 FVII activity and 2 FVII antigen) among 27 495 participants of European and African ancestry. Each study performed ancestry-specific association analyses. Inverse variance weighted meta-analysis was performed within each ancestry group and then combined for a -ancestry meta-analysis. Our primary analysis included the 7 studies that measured FVII activity, and a secondary analysis included all 9 studies. We provided functional genomic validation for newly identified significant loci by silencing candidate genes in a human liver cell line (HuH7) using small-interfering RNA and then measuring messenger RNA and FVII protein expression. Lastly, we used meta-analysis results to perform Mendelian randomization analysis to estimate the causal effect of FVII activity on coronary artery disease, ischemic stroke (IS), and venous thromboembolism. We identified 2 novel ( and ) and 6 known loci associated with FVII activity, explaining 19.0\% of the phenotypic variance. Adding FVII antigen data to the meta-analysis did not result in the discovery of further loci. Silencing in HuH7 cells upregulated FVII, whereas silencing downregulated FVII. Mendelian randomization analyses suggest that FVII activity has a positive causal effect on the risk of IS. Variants at and contribute to FVII activity by regulating expression levels. FVII activity appears to contribute to the etiology of IS in the general population.

}, issn = {1528-0020}, doi = {10.1182/blood-2018-05-849240}, author = {de Vries, Paul S and Sabater-Lleal, Maria and Huffman, Jennifer E and Marten, Jonathan and Song, Ci and Pankratz, Nathan and Bartz, Traci M and de Haan, Hugoline G and Delgado, Graciela E and Eicher, John D and Martinez-Perez, Angel and Ward-Caviness, Cavin K and Brody, Jennifer A and Chen, Ming-Huei and de Maat, Moniek P M and Fr{\r a}nberg, Mattias and Gill, Dipender and Kleber, Marcus E and Rivadeneira, Fernando and Soria, Jos{\'e} Manuel and Tang, Weihong and Tofler, Geoffrey H and Uitterlinden, Andr{\'e} G and van Hylckama Vlieg, Astrid and Seshadri, Sudha and Boerwinkle, Eric and Davies, Neil M and Giese, Anne-Katrin and Ikram, M Kamran and Kittner, Steven J and McKnight, Barbara and Psaty, Bruce M and Reiner, Alex P and Sargurupremraj, Muralidharan and Taylor, Kent D and Fornage, Myriam and Hamsten, Anders and M{\"a}rz, Winfried and Rosendaal, Frits R and Souto, Juan Carlos and Dehghan, Abbas and Johnson, Andrew D and Morrison, Alanna C and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L} } @article {7970, title = {Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.}, journal = {Am J Epidemiol}, year = {2019}, month = {2019 Jan 29}, abstract = {

An individual{\textquoteright}s lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multi-ancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in Stage 1 (genome-wide discovery) and 66 studies in Stage 2 (focused follow-up), for a total of 394,584 individuals from five ancestry groups. Genetic main and interaction effects were jointly assessed by a 2 degrees of freedom (DF) test, and a 1 DF test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P~<~1~{\texttimes}~10-6) with lipid levels in Stage 1 and were evaluated in Stage 2, followed by combined analyses of Stage 1 and Stage 2. In the combined analysis of Stage 1 and Stage 2, 147 independent loci were associated with lipid levels at P~<~5~{\texttimes}~10-8 using 2 DF tests, of which 18 were novel. No genome-wide significant associations were found testing the interaction effect alone. The novel loci included several genes (PCSK5, VEGFB, and A1CF) with a putative role in lipid metabolism based on existing evidence from cellular and experimental models.

}, issn = {1476-6256}, doi = {10.1093/aje/kwz005}, author = {de Vries, Paul S and Brown, Michael R and Bentley, Amy R and Sung, Yun J and Winkler, Thomas W and Ntalla, Ioanna and Schwander, Karen and Kraja, Aldi T and Guo, Xiuqing and Franceschini, Nora and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Huffman, Jennifer E and Musani, Solomon K and Li, Changwei and Feitosa, Mary F and Richard, Melissa A and Noordam, Raymond and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Deng, Xuan and Dorajoo, Rajkumar and Lohman, Kurt K and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert V and Tajuddin, Salman M and Evangelou, Evangelos and Graff, Mariaelisa and Alver, Maris and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Gandin, Ilaria and Gao, Chuan and Goel, Anuj and Hagemeijer, Yanick and Harris, Sarah E and Hartwig, Fernando P and He, Meian and Horimoto, Andrea R V R and Hsu, Fang-Chi and Jackson, Anne U and Kasturiratne, Anuradhani and Komulainen, Pirjo and Kuhnel, Brigitte and Laguzzi, Federica and Lee, Joseph H and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Matoba, Nana and Nolte, Ilja M and Pietzner, Maik and Riaz, Muhammad and Said, M Abdullah and Scott, Robert A and Sofer, Tamar and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Varga, Tibor V and Wang, Yajuan and Ware, Erin B and Wen, Wanqing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Afaq, Saima and Amin, Najaf and Amini, Marzyeh and Arking, Dan E and Aung, Tin and Ballantyne, Christie and Boerwinkle, Eric and Broeckel, Ulrich and Campbell, Archie and Canouil, Micka{\"e}l and Charumathi, Sabanayagam and Chen, Yii-Der Ida and Connell, John M and de Faire, Ulf and de Las Fuentes, Lisa and de Mutsert, Ren{\'e}e and de Silva, H Janaka and Ding, Jingzhong and Dominiczak, Anna F and Duan, Qing and Eaton, Charles B and Eppinga, Ruben N and Faul, Jessica D and Fisher, Virginia and Forrester, Terrence and Franco, Oscar H and Friedlander, Yechiel and Ghanbari, Mohsen and Giulianini, Franco and Grabe, Hans J and Grove, Megan L and Gu, C Charles and Harris, Tamara B and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Hixson, James E and Howard, Barbara V and Ikram, M Arfan and Jacobs, David R and Johnson, Craig and Jonas, Jost Bruno and Kammerer, Candace M and Katsuya, Tomohiro and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Koistinen, Heikki A and Kolcic, Ivana and Kooperberg, Charles and Krieger, Jose E and Kritchevsky, Steve B and Kubo, Michiaki and Kuusisto, Johanna and Lakka, Timo A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lemaitre, Rozenn N and Li, Yize and Liang, Jingjing and Liu, Jianjun and Liu, Kiang and Loh, Marie and Louie, Tin and M{\"a}gi, Reedik and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mohlke, Karen L and Mosley, Thomas H and Mukamal, Kenneth J and Nalls, Mike A and Nauck, Matthias and Nelson, Christopher P and Sotoodehnia, Nona and O{\textquoteright}Connell, Jeff R and Palmer, Nicholette D and Pazoki, Raha and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Poulter, Neil and Raffel, Leslie J and Raitakari, Olli T and Reiner, Alex P and Rice, Treva K and Rich, Stephen S and Robino, Antonietta and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Schmidt, Carsten O and Schreiner, Pamela J and Scott, William R and Sever, Peter and Shi, Yuan and Sidney, Stephen and Sims, Mario and Smith, Blair H and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Tan, Nicholas and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Vuckovic, Dragana and Waldenberger, Melanie and Wang, Lihua and Wang, Yujie and Wang, Zhe and Wei, Wen Bin and Williams, Christine and Wilson, Gregory and Wojczynski, Mary K and Yao, Jie and Yu, Bing and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Deary, Ian J and Esko, T{\~o}nu and Farrall, Martin and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Horta, Bernardo L and Kamatani, Yoichiro and Kato, Norihiro and Kooner, Jaspal S and Laakso, Markku and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Penninx, Brenda and Pereira, Alexandre C and Rauramaa, Rainer and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wang, Ya Xing and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Zheng, Wei and Elliott, Paul and North, Kari E and Bouchard, Claude and Evans, Michele K and Gudnason, Vilmundur and Liu, Ching-Ti and Liu, Yongmei and Psaty, Bruce M and Ridker, Paul M and van Dam, Rob M and Kardia, Sharon L R and Zhu, Xiaofeng and Rotimi, Charles N and Mook-Kanamori, Dennis O and Fornage, Myriam and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Liu, Jingmin and Rotter, Jerome I and Gauderman, W James and Province, Michael A and Munroe, Patricia B and Rice, Kenneth and Chasman, Daniel I and Cupples, L Adrienne and Rao, Dabeeru C and Morrison, Alanna C} } @article {8005, title = {Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids.}, journal = {Nat Genet}, volume = {51}, year = {2019}, month = {2019 Apr}, pages = {636-648}, abstract = {

The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings.

}, issn = {1546-1718}, doi = {10.1038/s41588-019-0378-y}, author = {Bentley, Amy R and Sung, Yun J and Brown, Michael R and Winkler, Thomas W and Kraja, Aldi T and Ntalla, Ioanna and Schwander, Karen and Chasman, Daniel I and Lim, Elise and Deng, Xuan and Guo, Xiuqing and Liu, Jingmin and Lu, Yingchang and Cheng, Ching-Yu and Sim, Xueling and Vojinovic, Dina and Huffman, Jennifer E and Musani, Solomon K and Li, Changwei and Feitosa, Mary F and Richard, Melissa A and Noordam, Raymond and Baker, Jenna and Chen, Guanjie and Aschard, Hugues and Bartz, Traci M and Ding, Jingzhong and Dorajoo, Rajkumar and Manning, Alisa K and Rankinen, Tuomo and Smith, Albert V and Tajuddin, Salman M and Zhao, Wei and Graff, Mariaelisa and Alver, Maris and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Goel, Anuj and Hagemeijer, Yanick and Harris, Sarah E and Hartwig, Fernando P and He, Meian and Horimoto, Andrea R V R and Hsu, Fang-Chi and Hung, Yi-Jen and Jackson, Anne U and Kasturiratne, Anuradhani and Komulainen, Pirjo and Kuhnel, Brigitte and Leander, Karin and Lin, Keng-Hung and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Matoba, Nana and Nolte, Ilja M and Pietzner, Maik and Prins, Bram and Riaz, Muhammad and Robino, Antonietta and Said, M Abdullah and Schupf, Nicole and Scott, Robert A and Sofer, Tamar and Stan{\v c}{\'a}kov{\'a}, Alena and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Varga, Tibor V and Wang, Tzung-Dau and Wang, Yajuan and Ware, Erin B and Wen, Wanqing and Xiang, Yong-Bing and Yanek, Lisa R and Zhang, Weihua and Zhao, Jing Hua and Adeyemo, Adebowale and Afaq, Saima and Amin, Najaf and Amini, Marzyeh and Arking, Dan E and Arzumanyan, Zorayr and Aung, Tin and Ballantyne, Christie and Barr, R Graham and Bielak, Lawrence F and Boerwinkle, Eric and Bottinger, Erwin P and Broeckel, Ulrich and Brown, Morris and Cade, Brian E and Campbell, Archie and Canouil, Micka{\"e}l and Charumathi, Sabanayagam and Chen, Yii-Der Ida and Christensen, Kaare and Concas, Maria Pina and Connell, John M and de Las Fuentes, Lisa and de Silva, H Janaka and de Vries, Paul S and Doumatey, Ayo and Duan, Qing and Eaton, Charles B and Eppinga, Ruben N and Faul, Jessica D and Floyd, James S and Forouhi, Nita G and Forrester, Terrence and Friedlander, Yechiel and Gandin, Ilaria and Gao, He and Ghanbari, Mohsen and Gharib, Sina A and Gigante, Bruna and Giulianini, Franco and Grabe, Hans J and Gu, C Charles and Harris, Tamara B and Heikkinen, Sami and Heng, Chew-Kiat and Hirata, Makoto and Hixson, James E and Ikram, M Arfan and Jia, Yucheng and Joehanes, Roby and Johnson, Craig and Jonas, Jost Bruno and Justice, Anne E and Katsuya, Tomohiro and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Kolcic, Ivana and Kooperberg, Charles and Krieger, Jose E and Kritchevsky, Stephen B and Kubo, Michiaki and Kuusisto, Johanna and Lakka, Timo A and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Lehne, Benjamin and Lewis, Cora E and Li, Yize and Liang, Jingjing and Lin, Shiow and Liu, Ching-Ti and Liu, Jianjun and Liu, Kiang and Loh, Marie and Lohman, Kurt K and Louie, Tin and Luzzi, Anna and M{\"a}gi, Reedik and Mahajan, Anubha and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mohlke, Karen L and Momozawa, Yukihide and Morris, Andrew P and Murray, Alison D and Nalls, Mike A and Nauck, Matthias and Nelson, Christopher P and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Papanicolau, George J and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Poulter, Neil and Raitakari, Olli T and Reiner, Alex P and Renstrom, Frida and Rice, Treva K and Rich, Stephen S and Robinson, Jennifer G and Rose, Lynda M and Rosendaal, Frits R and Rudan, Igor and Schmidt, Carsten O and Schreiner, Pamela J and Scott, William R and Sever, Peter and Shi, Yuan and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Snieder, Harold and Starr, John M and Strauch, Konstantin and Stringham, Heather M and Tan, Nicholas Y Q and Tang, Hua and Taylor, Kent D and Teo, Yik Ying and Tham, Yih Chung and Tiemeier, Henning and Turner, Stephen T and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Waldenberger, Melanie and Wang, Heming and Wang, Lan and Wang, Lihua and Wei, Wen Bin and Williams, Christine A and Wilson, Gregory and Wojczynski, Mary K and Yao, Jie and Young, Kristin and Yu, Caizheng and Yuan, Jian-Min and Zhou, Jie and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and Chambers, John C and Cooper, Richard S and de Faire, Ulf and Deary, Ian J and Elliott, Paul and Esko, T{\~o}nu and Farrall, Martin and Franks, Paul W and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Horta, Bernardo L and Juang, Jyh-Ming Jimmy and Kamatani, Yoichiro and Kammerer, Candace M and Kato, Norihiro and Kooner, Jaspal S and Laakso, Markku and Laurie, Cathy C and Lee, I-Te and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Pereira, Alexandre C and Rauramaa, Rainer and Redline, Susan and Samani, Nilesh J and Scott, James and Shu, Xiao-Ou and van der Harst, Pim and Wagenknecht, Lynne E and Wang, Jun-Sing and Wang, Ya Xing and Wareham, Nicholas J and Watkins, Hugh and Weir, David R and Wickremasinghe, Ananda R and Wu, Tangchun and Zeggini, Eleftheria and Zheng, Wei and Bouchard, Claude and Evans, Michele K and Gudnason, Vilmundur and Kardia, Sharon L R and Liu, Yongmei and Psaty, Bruce M and Ridker, Paul M and van Dam, Rob M and Mook-Kanamori, Dennis O and Fornage, Myriam and Province, Michael A and Kelly, Tanika N and Fox, Ervin R and Hayward, Caroline and van Duijn, Cornelia M and Tai, E Shyong and Wong, Tien Yin and Loos, Ruth J F and Franceschini, Nora and Rotter, Jerome I and Zhu, Xiaofeng and Bierut, Laura J and Gauderman, W James and Rice, Kenneth and Munroe, Patricia B and Morrison, Alanna C and Rao, Dabeeru C and Rotimi, Charles N and Cupples, L Adrienne} } @article {8202, title = {Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 Nov 12}, pages = {5121}, abstract = {

Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25\% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles.

}, issn = {2041-1723}, doi = {10.1038/s41467-019-12958-0}, author = {Noordam, Raymond and Bos, Maxime M and Wang, Heming and Winkler, Thomas W and Bentley, Amy R and Kilpel{\"a}inen, Tuomas O and de Vries, Paul S and Sung, Yun Ju and Schwander, Karen and Cade, Brian E and Manning, Alisa and Aschard, Hugues and Brown, Michael R and Chen, Han and Franceschini, Nora and Musani, Solomon K and Richard, Melissa and Vojinovic, Dina and Aslibekyan, Stella and Bartz, Traci M and de Las Fuentes, Lisa and Feitosa, Mary and Horimoto, Andrea R and Ilkov, Marjan and Kho, Minjung and Kraja, Aldi and Li, Changwei and Lim, Elise and Liu, Yongmei and Mook-Kanamori, Dennis O and Rankinen, Tuomo and Tajuddin, Salman M and van der Spek, Ashley and Wang, Zhe and Marten, Jonathan and Laville, Vincent and Alver, Maris and Evangelou, Evangelos and Graff, Maria E and He, Meian and Kuhnel, Brigitte and Lyytik{\"a}inen, Leo-Pekka and Marques-Vidal, Pedro and Nolte, Ilja M and Palmer, Nicholette D and Rauramaa, Rainer and Shu, Xiao-Ou and Snieder, Harold and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Adolfo, Correa and Ballantyne, Christie and Bielak, Larry and Biermasz, Nienke R and Boerwinkle, Eric and Dimou, Niki and Eiriksdottir, Gudny and Gao, Chuan and Gharib, Sina A and Gottlieb, Daniel J and Haba-Rubio, Jos{\'e} and Harris, Tamara B and Heikkinen, Sami and Heinzer, Raphael and Hixson, James E and Homuth, Georg and Ikram, M Arfan and Komulainen, Pirjo and Krieger, Jose E and Lee, Jiwon and Liu, Jingmin and Lohman, Kurt K and Luik, Annemarie I and M{\"a}gi, Reedik and Martin, Lisa W and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Nalls, Mike A and O{\textquoteright}Connell, Jeff and Peters, Annette and Peyser, Patricia and Raitakari, Olli T and Reiner, Alex P and Rensen, Patrick C N and Rice, Treva K and Rich, Stephen S and Roenneberg, Till and Rotter, Jerome I and Schreiner, Pamela J and Shikany, James and Sidney, Stephen S and Sims, Mario and Sitlani, Colleen M and Sofer, Tamar and Strauch, Konstantin and Swertz, Morris A and Taylor, Kent D and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and V{\"o}lzke, Henry and Waldenberger, Melanie and Wallance, Robert B and van Dijk, Ko Willems and Yu, Caizheng and Zonderman, Alan B and Becker, Diane M and Elliott, Paul and Esko, T{\~o}nu and Gieger, Christian and Grabe, Hans J and Lakka, Timo A and Lehtim{\"a}ki, Terho and North, Kari E and Penninx, Brenda W J H and Vollenweider, Peter and Wagenknecht, Lynne E and Wu, Tangchun and Xiang, Yong-Bing and Zheng, Wei and Arnett, Donna K and Bouchard, Claude and Evans, Michele K and Gudnason, Vilmundur and Kardia, Sharon and Kelly, Tanika N and Kritchevsky, Stephen B and Loos, Ruth J F and Pereira, Alexandre C and Province, Mike and Psaty, Bruce M and Rotimi, Charles and Zhu, Xiaofeng and Amin, Najaf and Cupples, L Adrienne and Fornage, Myriam and Fox, Ervin F and Guo, Xiuqing and Gauderman, W James and Rice, Kenneth and Kooperberg, Charles and Munroe, Patricia B and Liu, Ching-Ti and Morrison, Alanna C and Rao, Dabeeru C and van Heemst, Diana and Redline, Susan} } @article {7976, title = {Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 01 22}, pages = {376}, abstract = {

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

}, keywords = {Adolescent, Adult, African Continental Ancestry Group, Aged, Aged, 80 and over, Asian Continental Ancestry Group, Brazil, Calcium-Binding Proteins, Cholesterol, Cholesterol, HDL, Cholesterol, LDL, European Continental Ancestry Group, Exercise, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Hispanic Americans, Humans, LIM-Homeodomain Proteins, Lipid Metabolism, Lipids, Male, Membrane Proteins, Microtubule-Associated Proteins, Middle Aged, Muscle Proteins, Nerve Tissue Proteins, Transcription Factors, Triglycerides, Young Adult}, issn = {2041-1723}, doi = {10.1038/s41467-018-08008-w}, author = {Kilpel{\"a}inen, Tuomas O and Bentley, Amy R and Noordam, Raymond and Sung, Yun Ju and Schwander, Karen and Winkler, Thomas W and Jakupovi{\'c}, Hermina and Chasman, Daniel I and Manning, Alisa and Ntalla, Ioanna and Aschard, Hugues and Brown, Michael R and de Las Fuentes, Lisa and Franceschini, Nora and Guo, Xiuqing and Vojinovic, Dina and Aslibekyan, Stella and Feitosa, Mary F and Kho, Minjung and Musani, Solomon K and Richard, Melissa and Wang, Heming and Wang, Zhe and Bartz, Traci M and Bielak, Lawrence F and Campbell, Archie and Dorajoo, Rajkumar and Fisher, Virginia and Hartwig, Fernando P and Horimoto, Andrea R V R and Li, Changwei and Lohman, Kurt K and Marten, Jonathan and Sim, Xueling and Smith, Albert V and Tajuddin, Salman M and Alver, Maris and Amini, Marzyeh and Boissel, Mathilde and Chai, Jin Fang and Chen, Xu and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Graff, Mariaelisa and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Jackson, Anne U and Zhao, Jing Hua and Kraja, Aldi T and Kuhnel, Brigitte and Laguzzi, Federica and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Rueedi, Rico and Stringham, Heather M and Takeuchi, Fumihiko and van der Most, Peter J and Varga, Tibor V and Verweij, Niek and Ware, Erin B and Wen, Wanqing and Li, Xiaoyin and Yanek, Lisa R and Amin, Najaf and Arnett, Donna K and Boerwinkle, Eric and Brumat, Marco and Cade, Brian and Canouil, Micka{\"e}l and Chen, Yii-Der Ida and Concas, Maria Pina and Connell, John and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Demirkan, Ayse and Ding, Jingzhong and Eaton, Charles B and Faul, Jessica D and Friedlander, Yechiel and Gabriel, Kelley P and Ghanbari, Mohsen and Giulianini, Franco and Gu, Chi Charles and Gu, Dongfeng and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hunt, Steven C and Ikram, M Arfan and Jonas, Jost B and Koh, Woon-Puay and Komulainen, Pirjo and Krieger, Jose E and Kritchevsky, Stephen B and Kutalik, Zolt{\'a}n and Kuusisto, Johanna and Langefeld, Carl D and Langenberg, Claudia and Launer, Lenore J and Leander, Karin and Lemaitre, Rozenn N and Lewis, Cora E and Liang, Jingjing and Liu, Jianjun and M{\"a}gi, Reedik and Manichaikul, Ani and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Mohlke, Karen L and Mosley, Thomas H and Murray, Alison D and Nalls, Mike A and Nang, Ei-Ei Khaing and Nelson, Christopher P and Nona, Sotoodehnia and Norris, Jill M and Nwuba, Chiamaka Vivian and O{\textquoteright}Connell, Jeff and Palmer, Nicholette D and Papanicolau, George J and Pazoki, Raha and Pedersen, Nancy L and Peters, Annette and Peyser, Patricia A and Polasek, Ozren and Porteous, David J and Poveda, Alaitz and Raitakari, Olli T and Rich, Stephen S and Risch, Neil and Robinson, Jennifer G and Rose, Lynda M and Rudan, Igor and Schreiner, Pamela J and Scott, Robert A and Sidney, Stephen S and Sims, Mario and Smith, Jennifer A and Snieder, Harold and Sofer, Tamar and Starr, John M and Sternfeld, Barbara and Strauch, Konstantin and Tang, Hua and Taylor, Kent D and Tsai, Michael Y and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and van der Ende, M Yldau and van Heemst, Diana and Voortman, Trudy and Waldenberger, Melanie and Wennberg, Patrik and Wilson, Gregory and Xiang, Yong-Bing and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Boehnke, Michael and Bowden, Donald W and de Faire, Ulf and Deary, Ian J and Elliott, Paul and Esko, T{\~o}nu and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Kato, Norihiro and Laakso, Markku and Lakka, Timo A and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Samani, Nilesh J and Shu, Xiao-Ou and van der Harst, Pim and van Vliet-Ostaptchouk, Jana V and Vollenweider, Peter and Wagenknecht, Lynne E and Wang, Ya X and Wareham, Nicholas J and Weir, David R and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Evans, Michele K and Franks, Paul W and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kelly, Tanika N and Liu, Yongmei and North, Kari E and Pereira, Alexandre C and Ridker, Paul M and Tai, E Shyong and van Dam, Rob M and Fox, Ervin R and Kardia, Sharon L R and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Province, Michael A and Redline, Susan and van Duijn, Cornelia M and Rotter, Jerome I and Kooperberg, Charles B and Gauderman, W James and Psaty, Bruce M and Rice, Kenneth and Munroe, Patricia B and Fornage, Myriam and Cupples, L Adrienne and Rotimi, Charles N and Morrison, Alanna C and Rao, Dabeeru C and Loos, Ruth J F} } @article {8287, title = {Association of CD14 with incident dementia and markers of brain aging and injury.}, journal = {Neurology}, volume = {94}, year = {2020}, month = {2020 01 21}, pages = {e254-e266}, abstract = {

OBJECTIVE: To test the hypothesis that the inflammatory marker plasma soluble CD14 (sCD14) associates with incident dementia and related endophenotypes in 2 community-based cohorts.

METHODS: Our samples included the prospective community-based Framingham Heart Study (FHS) and Cardiovascular Health Study (CHS) cohorts. Plasma sCD14 was measured at baseline and related to the incidence of dementia, domains of cognitive function, and MRI-defined brain volumes. Follow-up for dementia occurred over a mean of 10 years (SD 4) in the FHS and a mean of 6 years (SD 3) in the CHS.

RESULTS: We studied 1,588 participants from the FHS (mean age 69 {\textpm} 6 years, 47\% male, 131 incident events) and 3,129 participants from the CHS (mean age 72 {\textpm} 5 years, 41\% male, 724 incident events) for the risk of incident dementia. Meta-analysis across the 2 cohorts showed that each SD unit increase in sCD14 was associated with a 12\% increase in the risk of incident dementia (95\% confidence interval 1.03-1.23; = 0.01) following adjustments for age, sex, ε4 status, and vascular risk factors. Higher levels of sCD14 were associated with various cognitive and MRI markers of accelerated brain aging in both cohorts and with a greater progression of brain atrophy and a decline in executive function in the FHS.

CONCLUSION: sCD14 is an inflammatory marker related to brain atrophy, cognitive decline, and incident dementia.

}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000008682}, author = {Pase, Matthew P and Himali, Jayandra J and Beiser, Alexa S and DeCarli, Charles and McGrath, Emer R and Satizabal, Claudia L and Aparicio, Hugo J and Adams, Hieab H H and Reiner, Alexander P and Longstreth, W T and Fornage, Myriam and Tracy, Russell P and Lopez, Oscar and Psaty, Bruce M and Levy, Daniel and Seshadri, Sudha and Bis, Joshua C} } @article {8381, title = {Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci.}, journal = {Mol Psychiatry}, year = {2020}, month = {2020 May 05}, abstract = {

Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 {\texttimes} 10). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.

}, issn = {1476-5578}, doi = {10.1038/s41380-020-0719-3}, author = {de Las Fuentes, Lisa and Sung, Yun Ju and Noordam, Raymond and Winkler, Thomas and Feitosa, Mary F and Schwander, Karen and Bentley, Amy R and Brown, Michael R and Guo, Xiuqing and Manning, Alisa and Chasman, Daniel I and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Campbell, Archie and Cheng, Ching-Yu and Dorajoo, Rajkumar and Hartwig, Fernando P and Horimoto, A R V R and Li, Changwei and Li-Gao, Ruifang and Liu, Yongmei and Marten, Jonathan and Musani, Solomon K and Ntalla, Ioanna and Rankinen, Tuomo and Richard, Melissa and Sim, Xueling and Smith, Albert V and Tajuddin, Salman M and Tayo, Bamidele O and Vojinovic, Dina and Warren, Helen R and Xuan, Deng and Alver, Maris and Boissel, Mathilde and Chai, Jin-Fang and Chen, Xu and Christensen, Kaare and Divers, Jasmin and Evangelou, Evangelos and Gao, Chuan and Girotto, Giorgia and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Kuhnel, Brigitte and Laguzzi, Federica and Li, Xiaoyin and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Poveda, Alaitz and Rauramaa, Rainer and Riaz, Muhammad and Rueedi, Rico and Shu, Xiao-Ou and Snieder, Harold and Sofer, Tamar and Takeuchi, Fumihiko and Verweij, Niek and Ware, Erin B and Weiss, Stefan and Yanek, Lisa R and Amin, Najaf and Arking, Dan E and Arnett, Donna K and Bergmann, Sven and Boerwinkle, Eric and Brody, Jennifer A and Broeckel, Ulrich and Brumat, Marco and Burke, Gregory and Cabrera, Claudia P and Canouil, Micka{\"e}l and Chee, Miao Li and Chen, Yii-Der Ida and Cocca, Massimiliano and Connell, John and de Silva, H Janaka and de Vries, Paul S and Eiriksdottir, Gudny and Faul, Jessica D and Fisher, Virginia and Forrester, Terrence and Fox, Ervin F and Friedlander, Yechiel and Gao, He and Gigante, Bruna and Giulianini, Franco and Gu, Chi Charles and Gu, Dongfeng and Harris, Tamara B and He, Jiang and Heikkinen, Sami and Heng, Chew-Kiat and Hunt, Steven and Ikram, M Arfan and Irvin, Marguerite R and K{\"a}h{\"o}nen, Mika and Kavousi, Maryam and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Komulainen, Pirjo and Kraja, Aldi T and Krieger, J E and Langefeld, Carl D and Li, Yize and Liang, Jingjing and Liewald, David C M and Liu, Ching-Ti and Liu, Jianjun and Lohman, Kurt K and M{\"a}gi, Reedik and McKenzie, Colin A and Meitinger, Thomas and Metspalu, Andres and Milaneschi, Yuri and Milani, Lili and Mook-Kanamori, Dennis O and Nalls, Mike A and Nelson, Christopher P and Norris, Jill M and O{\textquoteright}Connell, Jeff and Ogunniyi, Adesola and Padmanabhan, Sandosh and Palmer, Nicholette D and Pedersen, Nancy L and Perls, Thomas and Peters, Annette and Petersmann, Astrid and Peyser, Patricia A and Polasek, Ozren and Porteous, David J and Raffel, Leslie J and Rice, Treva K and Rotter, Jerome I and Rudan, Igor and Rueda-Ochoa, Oscar-Leonel and Sabanayagam, Charumathi and Salako, Babatunde L and Schreiner, Pamela J and Shikany, James M and Sidney, Stephen S and Sims, Mario and Sitlani, Colleen M and Smith, Jennifer A and Starr, John M and Strauch, Konstantin and Swertz, Morris A and Teumer, Alexander and Tham, Yih Chung and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and van der Ende, M Yldau and Waldenberger, Melanie and Wang, Lihua and Wang, Ya-Xing and Wei, Wen-Bin and Weir, David R and Wen, Wanqing and Yao, Jie and Yu, Bing and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Zonderman, Alan B and Becker, Diane M and Bowden, Donald W and Deary, Ian J and D{\"o}rr, Marcus and Esko, T{\~o}nu and Freedman, Barry I and Froguel, Philippe and Gasparini, Paolo and Gieger, Christian and Jonas, Jost Bruno and Kammerer, Candace M and Kato, Norihiro and Lakka, Timo A and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and Marques-Vidal, Pedro and Penninx, Brenda W J H and Samani, Nilesh J and van der Harst, Pim and Wagenknecht, Lynne E and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Bouchard, Claude and Cooper, Richard S and Correa, Adolfo and Evans, Michele K and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kelly, Tanika N and Kritchevsky, Stephen B and Levy, Daniel and Palmas, Walter R and Pereira, A C and Province, Michael M and Psaty, Bruce M and Ridker, Paul M and Rotimi, Charles N and Tai, E Shyong and van Dam, Rob M and van Duijn, Cornelia M and Wong, Tien Yin and Rice, Kenneth and Gauderman, W James and Morrison, Alanna C and North, Kari E and Kardia, Sharon L R and Caulfield, Mark J and Elliott, Paul and Munroe, Patricia B and Franks, Paul W and Rao, Dabeeru C and Fornage, Myriam} } @article {8506, title = {The genetic architecture of the human cerebral cortex}, journal = {Science}, volume = {367}, year = {2020}, month = {Aug-03-2021}, pages = {eaay6690}, issn = {0036-8075}, doi = {10.1126/science.aay6690}, url = {https://www.sciencemag.org/lookup/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690}, author = {Grasby, Katrina L. and Jahanshad, Neda and Painter, Jodie N. and Colodro-Conde, Luc{\'\i}a and Bralten, Janita and Hibar, Derrek P. and Lind, Penelope A. and Pizzagalli, Fabrizio and Ching, Christopher R. K. and McMahon, Mary Agnes B. and Shatokhina, Natalia and Zsembik, Leo C. P. and Thomopoulos, Sophia I. and Zhu, Alyssa H. and Strike, Lachlan T. and Agartz, Ingrid and Alhusaini, Saud and Almeida, Marcio A. A. and Aln{\ae}s, Dag and Amlien, Inge K. and Andersson, Micael and Ard, Tyler and Armstrong, Nicola J. and Ashley-Koch, Allison and Atkins, Joshua R. and Bernard, Manon and Brouwer, Rachel M. and Buimer, Elizabeth E. L. and B{\"u}low, Robin and B{\"u}rger, Christian and Cannon, Dara M. and Chakravarty, Mallar and Chen, Qiang and Cheung, Joshua W. and Couvy-Duchesne, Baptiste and Dale, Anders M. and Dalvie, Shareefa and de Araujo, T{\^a}nia K. and de Zubicaray, Greig I. and de Zwarte, Sonja M. C. and den Braber, Anouk and Doan, Nhat Trung and Dohm, Katharina and Ehrlich, Stefan and Engelbrecht, Hannah-Ruth and Erk, Susanne and Fan, Chun Chieh and Fedko, Iryna O. and Foley, Sonya F. and Ford, Judith M. and Fukunaga, Masaki and Garrett, Melanie E. and Ge, Tian and Giddaluru, Sudheer and Goldman, Aaron L. and Green, Melissa J. and Groenewold, Nynke A. and Grotegerd, Dominik and Gurholt, Tiril P. and Gutman, Boris A. and Hansell, Narelle K. and Harris, Mathew A. and Harrison, Marc B. and Haswell, Courtney C. and Hauser, Michael and Herms, Stefan and Heslenfeld, Dirk J. and Ho, New Fei and Hoehn, David and Hoffmann, Per and Holleran, Laurena and Hoogman, Martine and Hottenga, Jouke-Jan and Ikeda, Masashi and Janowitz, Deborah and Jansen, Iris E. and Jia, Tianye and Jockwitz, Christiane and Kanai, Ryota and Karama, Sherif and Kasperaviciute, Dalia and Kaufmann, Tobias and Kelly, Sinead and Kikuchi, Masataka and Klein, Marieke and Knapp, Michael and Knodt, Annchen R. and Kr{\"a}mer, Bernd and Lam, Max and Lancaster, Thomas M. and Lee, Phil H. and Lett, Tristram A. and Lewis, Lindsay B. and Lopes-Cendes, Iscia and Luciano, Michelle and Macciardi, Fabio and Marquand, Andre F. and Mathias, Samuel R. and Melzer, Tracy R. and Milaneschi, Yuri and Mirza-Schreiber, Nazanin and Moreira, Jose C. V. and M{\"u}hleisen, Thomas W. and M{\"u}ller-Myhsok, Bertram and Najt, Pablo and Nakahara, Soichiro and Nho, Kwangsik and Olde Loohuis, Loes M. and Orfanos, Dimitri Papadopoulos and Pearson, John F. and Pitcher, Toni L. and P{\"u}tz, Benno and Quid{\'e}, Yann and Ragothaman, Anjanibhargavi and Rashid, Faisal M. and Reay, William R. and Redlich, Ronny and Reinbold, C{\'e}line S. and Repple, Jonathan and Richard, Genevi{\`e}ve and Riedel, Brandalyn C. and Risacher, Shannon L. and Rocha, Cristiane S. and Mota, Nina Roth and Salminen, Lauren and Saremi, Arvin and Saykin, Andrew J. and Schlag, Fenja and Schmaal, Lianne and Schofield, Peter R. and Secolin, Rodrigo and Shapland, Chin Yang and Shen, Li and Shin, Jean and Shumskaya, Elena and S{\o}nderby, Ida E. and Sprooten, Emma and Tansey, Katherine E. and Teumer, Alexander and Thalamuthu, Anbupalam and Tordesillas-Gutierrez, Diana and Turner, Jessica A. and Uhlmann, Anne and Vallerga, Costanza Ludovica and van der Meer, Dennis and van Donkelaar, Marjolein M. J. and van Eijk, Liza and van Erp, Theo G. M. and van Haren, Neeltje E. M. and van Rooij, Daan and van Tol, Marie-Jose and Veldink, Jan H. and Verhoef, Ellen and Walton, Esther and Wang, Mingyuan and Wang, Yunpeng and Wardlaw, Joanna M. and Wen, Wei and Westlye, Lars T. and Whelan, Christopher D. and Witt, Stephanie H. and Wittfeld, Katharina and Wolf, Christiane and Wolfers, Thomas and Wu, Jing Qin and Yasuda, Clarissa L. and Zaremba, Dario and Zhang, Zuo and Zwiers, Marcel P. and Artiges, Eric and Assareh, Amelia A. and Ayesa-Arriola, Rosa and Belger, Aysenil and Brandt, Christine L. and Brown, Gregory G. and Cichon, Sven and Curran, Joanne E. and Davies, Gareth E. and Degenhardt, Franziska and Dennis, Michelle F. and Dietsche, Bruno and Djurovic, Srdjan and Doherty, Colin P. and Espiritu, Ryan and Garijo, Daniel and Gil, Yolanda and Gowland, Penny A. and Green, Robert C. and H{\"a}usler, Alexander N. and Heindel, Walter and Ho, Beng-Choon and Hoffmann, Wolfgang U. and Holsboer, Florian and Homuth, Georg and Hosten, Norbert and Jack, Clifford R. and Jang, MiHyun and Jansen, Andreas and Kimbrel, Nathan A. and Kolsk{\r a}r, Knut and Koops, Sanne and Krug, Axel and Lim, Kelvin O. and Luykx, Jurjen J. and Mathalon, Daniel H. and Mather, Karen A. and Mattay, Venkata S. and Matthews, Sarah and Mayoral Van Son, Jaqueline and McEwen, Sarah C. and Melle, Ingrid and Morris, Derek W. and Mueller, Bryon A. and Nauck, Matthias and Nordvik, Jan E. and N{\"o}then, Markus M. and O{\textquoteright}Leary, Daniel S. and Opel, Nils and Martinot, Marie-Laure Paill{\`e}re and Pike, G. Bruce and Preda, Adrian and Quinlan, Erin B. and Rasser, Paul E. and Ratnakar, Varun and Reppermund, Simone and Steen, Vidar M. and Tooney, Paul A. and Torres, F{\'a}bio R. and Veltman, Dick J. and Voyvodic, James T. and Whelan, Robert and White, Tonya and Yamamori, Hidenaga and Adams, Hieab H. H. and Bis, Joshua C. and Debette, Stephanie and DeCarli, Charles and Fornage, Myriam and Gudnason, Vilmundur and Hofer, Edith and Ikram, M. Arfan and Launer, Lenore and Longstreth, W. T. and Lopez, Oscar L. and Mazoyer, Bernard and Mosley, Thomas H. and Roshchupkin, Gennady V. and Satizabal, Claudia L. and Schmidt, Reinhold and Seshadri, Sudha and Yang, Qiong and Alvim, Marina K. M. and Ames, David and Anderson, Tim J. and Andreassen, Ole A. and Arias-Vasquez, Alejandro and Bastin, Mark E. and Baune, Bernhard T. and Beckham, Jean C. and Blangero, John and Boomsma, Dorret I. and Brodaty, Henry and Brunner, Han G. and Buckner, Randy L. and Buitelaar, Jan K. and Bustillo, Juan R. and Cahn, Wiepke and Cairns, Murray J. and Calhoun, Vince and Carr, Vaughan J. and Caseras, Xavier and Caspers, Svenja and Cavalleri, Gianpiero L. and Cendes, Fernando and Corvin, Aiden and Crespo-Facorro, Benedicto and Dalrymple-Alford, John C. and Dannlowski, Udo and de Geus, Eco J. C. and Deary, Ian J. and Delanty, Norman and Depondt, Chantal and Desrivi{\`e}res, Sylvane and Donohoe, Gary and Espeseth, Thomas and Fern{\'a}ndez, Guill{\'e}n and Fisher, Simon E. and Flor, Herta and Forstner, Andreas J. and Francks, Clyde and Franke, Barbara and Glahn, David C. and Gollub, Randy L. and Grabe, Hans J. and Gruber, Oliver and H{\r a}berg, Asta K. and Hariri, Ahmad R. and Hartman, Catharina A. and Hashimoto, Ryota and Heinz, Andreas and Henskens, Frans A. and Hillegers, Manon H. J. and Hoekstra, Pieter J. and Holmes, Avram J. and Hong, L. Elliot and Hopkins, William D. and Hulshoff Pol, Hilleke E. and Jernigan, Terry L. and J{\"o}nsson, Erik G. and Kahn, Ren{\'e} S. and Kennedy, Martin A. and Kircher, Tilo T. J. and Kochunov, Peter and Kwok, John B. J. and Le Hellard, Stephanie and Loughland, Carmel M. and Martin, Nicholas G. and Martinot, Jean-Luc and McDonald, Colm and McMahon, Katie L. and Meyer-Lindenberg, Andreas and Michie, Patricia T. and Morey, Rajendra A. and Mowry, Bryan and Nyberg, Lars and Oosterlaan, Jaap and Ophoff, Roel A. and Pantelis, Christos and Paus, Tom{\'a}{\v s} and Pausova, Zdenka and Penninx, Brenda W. J. H. and Polderman, Tinca J. C. and Posthuma, Danielle and Rietschel, Marcella and Roffman, Joshua L. and Rowland, Laura M. and Sachdev, Perminder S. and S{\"a}mann, Philipp G. and Schall, Ulrich and Schumann, Gunter and Scott, Rodney J. and Sim, Kang and Sisodiya, Sanjay M. and Smoller, Jordan W. and Sommer, Iris E. and St Pourcain, Beate and Stein, Dan J. and Toga, Arthur W. and Trollor, Julian N. and Van der Wee, Nic J. A. and van {\textquoteright}t Ent, Dennis and V{\"o}lzke, Henry and Walter, Henrik and Weber, Bernd and Weinberger, Daniel R. and Wright, Margaret J. and Zhou, Juan and Stein, Jason L. and Thompson, Paul M. and Medland, Sarah E.} } @article {8621, title = {Inherited causes of clonal haematopoiesis in 97,691 whole genomes.}, journal = {Nature}, volume = {586}, year = {2020}, month = {2020 10}, pages = {763-768}, abstract = {

Age is the dominant risk factor for most chronic human diseases, but the mechanisms through which ageing confers this risk are largely unknown. The age-related acquisition of somatic mutations that lead to clonal expansion in regenerating haematopoietic stem cell populations has recently been associated with both haematological cancer and coronary heart disease-this phenomenon is~termed clonal haematopoiesis of indeterminate potential (CHIP). Simultaneous analyses of germline and somatic whole-genome sequences provide the opportunity to identify root causes of CHIP. Here we analyse high-coverage whole-genome sequences from 97,691 participants of diverse ancestries in the National Heart, Lung, and Blood Institute Trans-omics for Precision Medicine (TOPMed) programme, and identify 4,229 individuals with CHIP. We identify associations with blood cell, lipid and inflammatory traits that are specific to different CHIP~driver genes. Association of a genome-wide set of germline genetic variants enabled the identification of three genetic loci associated with CHIP status, including one locus at TET2 that was specific to individuals of African ancestry. In silico-informed in vitro evaluation of the TET2 germline locus enabled the identification of a causal variant that disrupts a TET2 distal enhancer, resulting in increased self-renewal of haematopoietic stem cells. Overall, we observe that germline genetic variation shapes haematopoietic stem cell function, leading to CHIP through mechanisms that are specific to clonal haematopoiesis as well as shared mechanisms that lead to somatic mutations across tissues.

}, issn = {1476-4687}, doi = {10.1038/s41586-020-2819-2}, author = {Bick, Alexander G and Weinstock, Joshua S and Nandakumar, Satish K and Fulco, Charles P and Bao, Erik L and Zekavat, Seyedeh M and Szeto, Mindy D and Liao, Xiaotian and Leventhal, Matthew J and Nasser, Joseph and Chang, Kyle and Laurie, Cecelia and Burugula, Bala Bharathi and Gibson, Christopher J and Lin, Amy E and Taub, Margaret A and Aguet, Francois and Ardlie, Kristin and Mitchell, Braxton D and Barnes, Kathleen C and Moscati, Arden and Fornage, Myriam and Redline, Susan and Psaty, Bruce M and Silverman, Edwin K and Weiss, Scott T and Palmer, Nicholette D and Vasan, Ramachandran S and Burchard, Esteban G and Kardia, Sharon L R and He, Jiang and Kaplan, Robert C and Smith, Nicholas L and Arnett, Donna K and Schwartz, David A and Correa, Adolfo and de Andrade, Mariza and Guo, Xiuqing and Konkle, Barbara A and Custer, Brian and Peralta, Juan M and Gui, Hongsheng and Meyers, Deborah A and McGarvey, Stephen T and Chen, Ida Yii-Der and Shoemaker, M Benjamin and Peyser, Patricia A and Broome, Jai G and Gogarten, Stephanie M and Wang, Fei Fei and Wong, Quenna and Montasser, May E and Daya, Michelle and Kenny, Eimear E and North, Kari E and Launer, Lenore J and Cade, Brian E and Bis, Joshua C and Cho, Michael H and Lasky-Su, Jessica and Bowden, Donald W and Cupples, L Adrienne and Mak, Angel C Y and Becker, Lewis C and Smith, Jennifer A and Kelly, Tanika N and Aslibekyan, Stella and Heckbert, Susan R and Tiwari, Hemant K and Yang, Ivana V and Heit, John A and Lubitz, Steven A and Johnsen, Jill M and Curran, Joanne E and Wenzel, Sally E and Weeks, Daniel E and Rao, Dabeeru C and Darbar, Dawood and Moon, Jee-Young and Tracy, Russell P and Buth, Erin J and Rafaels, Nicholas and Loos, Ruth J F and Durda, Peter and Liu, Yongmei and Hou, Lifang and Lee, Jiwon and Kachroo, Priyadarshini and Freedman, Barry I and Levy, Daniel and Bielak, Lawrence F and Hixson, James E and Floyd, James S and Whitsel, Eric A and Ellinor, Patrick T and Irvin, Marguerite R and Fingerlin, Tasha E and Raffield, Laura M and Armasu, Sebastian M and Wheeler, Marsha M and Sabino, Ester C and Blangero, John and Williams, L Keoki and Levy, Bruce D and Sheu, Wayne Huey-Herng and Roden, Dan M and Boerwinkle, Eric and Manson, JoAnn E and Mathias, Rasika A and Desai, Pinkal and Taylor, Kent D and Johnson, Andrew D and Auer, Paul L and Kooperberg, Charles and Laurie, Cathy C and Blackwell, Thomas W and Smith, Albert V and Zhao, Hongyu and Lange, Ethan and Lange, Leslie and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Scheet, Paul and Kitzman, Jacob O and Lander, Eric S and Engreitz, Jesse M and Ebert, Benjamin L and Reiner, Alexander P and Jaiswal, Siddhartha and Abecasis, Goncalo and Sankaran, Vijay G and Kathiresan, Sekar and Natarajan, Pradeep} } @article {8480, title = {Mitochondrial DNA copy number can influence mortality and cardiovascular disease via methylation of nuclear DNA CpGs.}, journal = {Genome Med}, volume = {12}, year = {2020}, month = {2020 Sep 28}, pages = {84}, abstract = {

BACKGROUND: Mitochondrial DNA copy number (mtDNA-CN) has been associated with a variety of aging-related diseases, including all-cause mortality. However, the mechanism by which mtDNA-CN influences disease is not currently understood. One such mechanism may be through regulation of nuclear gene expression via the modification of nuclear DNA (nDNA) methylation.

METHODS: To investigate this hypothesis, we assessed the relationship between mtDNA-CN and nDNA methylation in 2507 African American (AA) and European American (EA) participants from the Atherosclerosis Risk in Communities (ARIC) study. To validate our findings, we assayed an additional 2528 participants from the Cardiovascular Health Study (CHS) (N = 533) and Framingham Heart Study (FHS) (N = 1995). We further assessed the effect of experimental modification of mtDNA-CN through knockout of TFAM, a regulator of mtDNA replication, via CRISPR-Cas9.

RESULTS: Thirty-four independent CpGs were associated with mtDNA-CN at genome-wide significance (P < 5 {\texttimes} 10). Meta-analysis across all cohorts identified six mtDNA-CN-associated CpGs at genome-wide significance (P < 5 {\texttimes} 10). Additionally, over half of these CpGs were associated with phenotypes known to be associated with mtDNA-CN, including coronary heart disease, cardiovascular disease, and mortality. Experimental modification of mtDNA-CN demonstrated that modulation of mtDNA-CN results in changes in nDNA methylation and gene expression of specific CpGs and nearby transcripts. Strikingly, the "neuroactive ligand receptor interaction" KEGG pathway was found to be highly overrepresented in the ARIC cohort (P = 5.24 {\texttimes} 10), as well as the TFAM knockout methylation (P =~4.41 {\texttimes} 10) and expression (P =~4.30 {\texttimes} 10) studies.

CONCLUSIONS: These results demonstrate that changes in mtDNA-CN influence nDNA methylation at specific loci and result in differential expression of specific genes that may impact human health and disease via altered cell signaling.

}, issn = {1756-994X}, doi = {10.1186/s13073-020-00778-7}, author = {Castellani, Christina A and Longchamps, Ryan J and Sumpter, Jason A and Newcomb, Charles E and Lane, John A and Grove, Megan L and Bressler, Jan and Brody, Jennifer A and Floyd, James S and Bartz, Traci M and Taylor, Kent D and Wang, Penglong and Tin, Adrienne and Coresh, Josef and Pankow, James S and Fornage, Myriam and Guallar, Eliseo and O{\textquoteright}Rourke, Brian and Pankratz, Nathan and Liu, Chunyu and Levy, Daniel and Sotoodehnia, Nona and Boerwinkle, Eric and Arking, Dan E} } @article {8407, title = {Role of Rare and Low-Frequency Variants in Gene-Alcohol Interactions on Plasma Lipid Levels.}, journal = {Circ Genom Precis Med}, volume = {13}, year = {2020}, month = {2020 Aug}, pages = {e002772}, abstract = {

BACKGROUND: Alcohol intake influences plasma lipid levels, and such effects may be moderated by genetic variants. We aimed to characterize the role of aggregated rare and low-frequency protein-coding variants in gene by alcohol consumption interactions associated with fasting plasma lipid levels.

METHODS: In the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, fasting plasma triglycerides and high- and low-density lipoprotein cholesterol were measured in 34 153 individuals with European ancestry from 5 discovery studies and 32 277 individuals from 6 replication studies. Rare and low-frequency functional protein-coding variants (minor allele frequency, <=5\%) measured by an exome array were aggregated by genes and evaluated by a gene-environment interaction test and a joint test of genetic main and gene-environment interaction effects. Two dichotomous self-reported alcohol consumption variables, current drinker, defined as any recurrent drinking behavior, and regular drinker, defined as the subset of current drinkers who consume at least 2 drinks per week, were considered.

RESULTS: We discovered and replicated 21 gene-lipid associations at 13 known lipid loci through the joint test. Eight loci (, , , , , , , and ) remained significant after conditioning on the common index single-nucleotide polymorphism identified by previous genome-wide association studies, suggesting an independent role for rare and low-frequency variants at these loci. One significant gene-alcohol interaction on triglycerides in a novel locus was significantly discovered (=6.65{\texttimes}10 for the interaction test) and replicated at nominal significance level (=0.013) in .

CONCLUSIONS: In conclusion, this study applied new gene-based statistical approaches and suggested that rare and low-frequency genetic variants interacted with alcohol consumption on lipid levels.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.119.002772}, author = {Wang, Zhe and Chen, Han and Bartz, Traci M and Bielak, Lawrence F and Chasman, Daniel I and Feitosa, Mary F and Franceschini, Nora and Guo, Xiuqing and Lim, Elise and Noordam, Raymond and Richard, Melissa A and Wang, Heming and Cade, Brian and Cupples, L Adrienne and de Vries, Paul S and Giulanini, Franco and Lee, Jiwon and Lemaitre, Rozenn N and Martin, Lisa W and Reiner, Alex P and Rich, Stephen S and Schreiner, Pamela J and Sidney, Stephen and Sitlani, Colleen M and Smith, Jennifer A and Willems van Dijk, Ko and Yao, Jie and Zhao, Wei and Fornage, Myriam and Kardia, Sharon L R and Kooperberg, Charles and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Province, Michael A and Psaty, Bruce M and Redline, Susan and Ridker, Paul M and Rotter, Jerome I and Boerwinkle, Eric and Morrison, Alanna C} } @article {8446, title = {Whole Blood DNA Methylation Signatures of Diet Are Associated With Cardiovascular Disease Risk Factors and All-Cause Mortality.}, journal = {Circ Genom Precis Med}, volume = {13}, year = {2020}, month = {2020 Aug}, pages = {e002766}, abstract = {

BACKGROUND: DNA methylation patterns associated with habitual diet have not been well studied.

METHODS: Diet quality was characterized using a Mediterranean-style diet score and the Alternative Healthy Eating Index score. We conducted ethnicity-specific and trans-ethnic epigenome-wide association analyses for diet quality and leukocyte-derived DNA methylation at over 400 000 CpGs (cytosine-guanine dinucleotides) in 5 population-based cohorts including 6662 European ancestry, 2702 African ancestry, and 360 Hispanic ancestry participants. For diet-associated CpGs identified in epigenome-wide analyses, we conducted Mendelian randomization (MR) analysis to examine their relations to cardiovascular disease risk factors and examined their longitudinal associations with all-cause mortality.

RESULTS: We identified 30 CpGs associated with either Mediterranean-style diet score or Alternative Healthy Eating Index, or both, in European ancestry participants. Among these CpGs, 12 CpGs were significantly associated with all-cause mortality (Bonferroni corrected <1.6{\texttimes}10). Hypermethylation of cg18181703 () was associated with higher scores of both Mediterranean-style diet score and Alternative Healthy Eating Index and lower risk for all-cause mortality (=5.7{\texttimes}10). Ten additional diet-associated CpGs were nominally associated with all-cause mortality (<0.05). MR analysis revealed 8 putatively causal associations for 6 CpGs with 4 cardiovascular disease risk factors (body mass index, triglycerides, high-density lipoprotein cholesterol concentrations, and type 2 diabetes mellitus; Bonferroni corrected MR <4.5{\texttimes}10). For example, hypermethylation of cg11250194 () was associated with lower triglyceride concentrations (MR, =1.5{\texttimes}10).and hypermethylation of cg02079413 (; ) was associated with body mass index (corrected MR, =1{\texttimes}10).

CONCLUSIONS: Habitual diet quality was associated with differential peripheral leukocyte DNA methylation levels of 30 CpGs, most of which were also associated with multiple health outcomes, in European ancestry individuals. These findings demonstrate that integrative genomic analysis of dietary information may reveal molecular targets for disease prevention and treatment.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.119.002766}, author = {Ma, Jiantao and Rebholz, Casey M and Braun, Kim V E and Reynolds, Lindsay M and Aslibekyan, Stella and Xia, Rui and Biligowda, Niranjan G and Huan, Tianxiao and Liu, Chunyu and Mendelson, Michael M and Joehanes, Roby and Hu, Emily A and Vitolins, Mara Z and Wood, Alexis C and Lohman, Kurt and Ochoa-Rosales, Carolina and van Meurs, Joyce and Uitterlinden, Andre and Liu, Yongmei and Elhadad, Mohamed A and Heier, Margit and Waldenberger, Melanie and Peters, Annette and Colicino, Elena and Whitsel, Eric A and Baldassari, Antoine and Gharib, Sina A and Sotoodehnia, Nona and Brody, Jennifer A and Sitlani, Colleen M and Tanaka, Toshiko and Hill, W David and Corley, Janie and Deary, Ian J and Zhang, Yan and Sch{\"o}ttker, Ben and Brenner, Hermann and Walker, Maura E and Ye, Shumao and Nguyen, Steve and Pankow, Jim and Demerath, Ellen W and Zheng, Yinan and Hou, Lifang and Liang, Liming and Lichtenstein, Alice H and Hu, Frank B and Fornage, Myriam and Voortman, Trudy and Levy, Daniel} } @article {8988, title = {Association of low-frequency and rare coding variants with information processing speed.}, journal = {Transl Psychiatry}, volume = {11}, year = {2021}, month = {2021 12 04}, pages = {613}, abstract = {

Measures of information processing speed vary between individuals and decline with age. Studies of aging twins suggest heritability may be as high as 67\%. The Illumina HumanExome Bead Chip genotyping array was used to examine the association of rare coding variants with performance on the Digit-Symbol Substitution Test (DSST) in community-dwelling adults participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. DSST scores were available for 30,576 individuals of European ancestry from nine cohorts and for 5758 individuals of African ancestry from four cohorts who were older than 45 years and free of dementia and clinical stroke. Linear regression models adjusted for age and gender were used for analysis of single genetic variants, and the T5, T1, and T01 burden tests that aggregate the number of rare alleles by gene were also applied. Secondary analyses included further adjustment for education. Meta-analyses to combine cohort-specific results were carried out separately for each ancestry group. Variants in RNF19A reached the threshold for statistical significance (p = 2.01 {\texttimes} 10) using the T01 test in individuals of European descent. RNF19A belongs to the class of E3 ubiquitin ligases that confer substrate specificity when proteins are ubiquitinated and targeted for degradation through the 26S proteasome. Variants in SLC22A7 and OR51A7 were suggestively associated with DSST scores after adjustment for education for African-American participants and in the European cohorts, respectively. Further functional characterization of its substrates will be required to confirm the role of RNF19A in cognitive function.

}, keywords = {Adult, Aging, Cognition, Genome-Wide Association Study, Geroscience, Humans, Polymorphism, Single Nucleotide, Ubiquitin-Protein Ligases}, issn = {2158-3188}, doi = {10.1038/s41398-021-01736-6}, author = {Bressler, Jan and Davies, Gail and Smith, Albert V and Saba, Yasaman and Bis, Joshua C and Jian, Xueqiu and Hayward, Caroline and Yanek, Lisa and Smith, Jennifer A and Mirza, Saira S and Wang, Ruiqi and Adams, Hieab H H and Becker, Diane and Boerwinkle, Eric and Campbell, Archie and Cox, Simon R and Eiriksdottir, Gudny and Fawns-Ritchie, Chloe and Gottesman, Rebecca F and Grove, Megan L and Guo, Xiuqing and Hofer, Edith and Kardia, Sharon L R and Knol, Maria J and Koini, Marisa and Lopez, Oscar L and Marioni, Riccardo E and Nyquist, Paul and Pattie, Alison and Polasek, Ozren and Porteous, David J and Rudan, Igor and Satizabal, Claudia L and Schmidt, Helena and Schmidt, Reinhold and Sidney, Stephen and Simino, Jeannette and Smith, Blair H and Turner, Stephen T and van der Lee, Sven J and Ware, Erin B and Whitmer, Rachel A and Yaffe, Kristine and Yang, Qiong and Zhao, Wei and Gudnason, Vilmundur and Launer, Lenore J and Fitzpatrick, Annette L and Psaty, Bruce M and Fornage, Myriam and Arfan Ikram, M and van Duijn, Cornelia M and Seshadri, Sudha and Mosley, Thomas H and Deary, Ian J} } @article {8997, title = {Association of mitochondrial DNA copy number with cardiometabolic diseases.}, journal = {Cell Genom}, volume = {1}, year = {2021}, month = {2021 Oct 13}, abstract = {

Mitochondrial DNA (mtDNA) is present in multiple copies in human cells. We evaluated cross-sectional associations of whole blood mtDNA copy number (CN) with several cardiometabolic disease traits in 408,361 participants of multiple ancestries in TOPMed and UK Biobank. Age showed a threshold association with mtDNA CN: among younger participants (<65 years of age), each additional 10 years of age was associated with 0.03 standard deviation (s.d.) higher level of mtDNA CN ( = 0.0014) versus a 0.14 s.d. lower level of mtDNA CN ( = 1.82 {\texttimes} 10) among older participants (>=65 years). At lower mtDNA CN levels, we found age-independent associations with increased odds of obesity ( = 5.6 {\texttimes} 10), hypertension ( = 2.8 {\texttimes} 10), diabetes ( = 3.6 {\texttimes} 10), and hyperlipidemia ( = 6.3 {\texttimes} 10). The observed decline in mtDNA CN after 65 years of age may be a key to understanding age-related diseases.

}, issn = {2666-979X}, doi = {10.1016/j.xgen.2021.100006}, author = {Liu, Xue and Longchamps, Ryan J and Wiggins, Kerri L and Raffield, Laura M and Bielak, Lawrence F and Zhao, Wei and Pitsillides, Achilleas and Blackwell, Thomas W and Yao, Jie and Guo, Xiuqing and Kurniansyah, Nuzulul and Thyagarajan, Bharat and Pankratz, Nathan and Rich, Stephen S and Taylor, Kent D and Peyser, Patricia A and Heckbert, Susan R and Seshadri, Sudha and Cupples, L Adrienne and Boerwinkle, Eric and Grove, Megan L and Larson, Nicholas B and Smith, Jennifer A and Vasan, Ramachandran S and Sofer, Tamar and Fitzpatrick, Annette L and Fornage, Myriam and Ding, Jun and Correa, Adolfo and Abecasis, Goncalo and Psaty, Bruce M and Wilson, James G and Levy, Daniel and Rotter, Jerome I and Bis, Joshua C and Satizabal, Claudia L and Arking, Dan E and Liu, Chunyu} } @article {8711, title = {Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 04 12}, pages = {2182}, abstract = {

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 {\texttimes} 10), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 {\texttimes} 10), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 {\texttimes} 10). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

}, issn = {2041-1723}, doi = {10.1038/s41467-021-22339-1}, author = {Natarajan, Pradeep and Pampana, Akhil and Graham, Sarah E and Ruotsalainen, Sanni E and Perry, James A and de Vries, Paul S and Broome, Jai G and Pirruccello, James P and Honigberg, Michael C and Aragam, Krishna and Wolford, Brooke and Brody, Jennifer A and Antonacci-Fulton, Lucinda and Arden, Moscati and Aslibekyan, Stella and Assimes, Themistocles L and Ballantyne, Christie M and Bielak, Lawrence F and Bis, Joshua C and Cade, Brian E and Do, Ron and Doddapaneni, Harsha and Emery, Leslie S and Hung, Yi-Jen and Irvin, Marguerite R and Khan, Alyna T and Lange, Leslie and Lee, Jiwon and Lemaitre, Rozenn N and Martin, Lisa W and Metcalf, Ginger and Montasser, May E and Moon, Jee-Young and Muzny, Donna and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peralta, Juan M and Peyser, Patricia A and Stilp, Adrienne M and Tsai, Michael and Wang, Fei Fei and Weeks, Daniel E and Yanek, Lisa R and Wilson, James G and Abecasis, Goncalo and Arnett, Donna K and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Chang, Yi-Cheng and Chen, Yii-der I and Choi, Won Jung and Correa, Adolfo and Curran, Joanne E and Daly, Mark J and Dutcher, Susan K and Ellinor, Patrick T and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Germer, Soren and Gibbs, Richard A and He, Jiang and Hveem, Kristian and Jarvik, Gail P and Kaplan, Robert C and Kardia, Sharon L R and Kenny, Eimear and Kim, Ryan W and Kooperberg, Charles and Laurie, Cathy C and Lee, Seonwook and Lloyd-Jones, Don M and Loos, Ruth J F and Lubitz, Steven A and Mathias, Rasika A and Martinez, Karine A Viaud and McGarvey, Stephen T and Mitchell, Braxton D and Nickerson, Deborah A and North, Kari E and Palotie, Aarno and Park, Cheol Joo and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Seo, Daekwan and Seo, Jeong-Sun and Smith, Albert V and Tracy, Russell P and Vasan, Ramachandran S and Kathiresan, Sekar and Cupples, L Adrienne and Rotter, Jerome I and Morrison, Alanna C and Rich, Stephen S and Ripatti, Samuli and Willer, Cristen and Peloso, Gina M} } @article {8705, title = {Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 Apr 01}, pages = {564-582}, abstract = {

Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5\%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained <=20 variants in the credible sets that jointly account for 99\% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.02.011}, author = {Graff, Mariaelisa and Justice, Anne E and Young, Kristin L and Marouli, Eirini and Zhang, Xinruo and Fine, Rebecca S and Lim, Elise and Buchanan, Victoria and Rand, Kristin and Feitosa, Mary F and Wojczynski, Mary K and Yanek, Lisa R and Shao, Yaming and Rohde, Rebecca and Adeyemo, Adebowale A and Aldrich, Melinda C and Allison, Matthew A and Ambrosone, Christine B and Ambs, Stefan and Amos, Christopher and Arnett, Donna K and Atwood, Larry and Bandera, Elisa V and Bartz, Traci and Becker, Diane M and Berndt, Sonja I and Bernstein, Leslie and Bielak, Lawrence F and Blot, William J and Bottinger, Erwin P and Bowden, Donald W and Bradfield, Jonathan P and Brody, Jennifer A and Broeckel, Ulrich and Burke, Gregory and Cade, Brian E and Cai, Qiuyin and Caporaso, Neil and Carlson, Chris and Carpten, John and Casey, Graham and Chanock, Stephen J and Chen, Guanjie and Chen, Minhui and Chen, Yii-der I and Chen, Wei-Min and Chesi, Alessandra and Chiang, Charleston W K and Chu, Lisa and Coetzee, Gerry A and Conti, David V and Cooper, Richard S and Cushman, Mary and Demerath, Ellen and Deming, Sandra L and Dimitrov, Latchezar and Ding, Jingzhong and Diver, W Ryan and Duan, Qing and Evans, Michele K and Falusi, Adeyinka G and Faul, Jessica D and Fornage, Myriam and Fox, Caroline and Freedman, Barry I and Garcia, Melissa and Gillanders, Elizabeth M and Goodman, Phyllis and Gottesman, Omri and Grant, Struan F A and Guo, Xiuqing and Hakonarson, Hakon and Haritunians, Talin and Harris, Tamara B and Harris, Curtis C and Henderson, Brian E and Hennis, Anselm and Hernandez, Dena G and Hirschhorn, Joel N and McNeill, Lorna Haughton and Howard, Timothy D and Howard, Barbara and Hsing, Ann W and Hsu, Yu-Han H and Hu, Jennifer J and Huff, Chad D and Huo, Dezheng and Ingles, Sue A and Irvin, Marguerite R and John, Esther M and Johnson, Karen C and Jordan, Joanne M and Kabagambe, Edmond K and Kang, Sun J and Kardia, Sharon L and Keating, Brendan J and Kittles, Rick A and Klein, Eric A and Kolb, Suzanne and Kolonel, Laurence N and Kooperberg, Charles and Kuller, Lewis and Kutlar, Abdullah and Lange, Leslie and Langefeld, Carl D and Le Marchand, Lo{\"\i}c and Leonard, Hampton and Lettre, Guillaume and Levin, Albert M and Li, Yun and Li, Jin and Liu, Yongmei and Liu, Youfang and Liu, Simin and Lohman, Kurt and Lotay, Vaneet and Lu, Yingchang and Maixner, William and Manson, JoAnn E and McKnight, Barbara and Meng, Yan and Monda, Keri L and Monroe, Kris and Moore, Jason H and Mosley, Thomas H and Mudgal, Poorva and Murphy, Adam B and Nadukuru, Rajiv and Nalls, Mike A and Nathanson, Katherine L and Nayak, Uma and N{\textquoteright}diaye, Amidou and Nemesure, Barbara and Neslund-Dudas, Christine and Neuhouser, Marian L and Nyante, Sarah and Ochs-Balcom, Heather and Ogundiran, Temidayo O and Ogunniyi, Adesola and Ojengbede, Oladosu and Okut, Hayrettin and Olopade, Olufunmilayo I and Olshan, Andrew and Padhukasahasram, Badri and Palmer, Julie and Palmer, Cameron D and Palmer, Nicholette D and Papanicolaou, George and Patel, Sanjay R and Pettaway, Curtis A and Peyser, Patricia A and Press, Michael F and Rao, D C and Rasmussen-Torvik, Laura J and Redline, Susan and Reiner, Alex P and Rhie, Suhn K and Rodriguez-Gil, Jorge L and Rotimi, Charles N and Rotter, Jerome I and Ruiz-Narvaez, Edward A and Rybicki, Benjamin A and Salako, Babatunde and Sale, Mich{\`e}le M and Sanderson, Maureen and Schadt, Eric and Schreiner, Pamela J and Schurmann, Claudia and Schwartz, Ann G and Shriner, Daniel A and Signorello, Lisa B and Singleton, Andrew B and Siscovick, David S and Smith, Jennifer A and Smith, Shad and Speliotes, Elizabeth and Spitz, Margaret and Stanford, Janet L and Stevens, Victoria L and Stram, Alex and Strom, Sara S and Sucheston, Lara and Sun, Yan V and Tajuddin, Salman M and Taylor, Herman and Taylor, Kira and Tayo, Bamidele O and Thun, Michael J and Tucker, Margaret A and Vaidya, Dhananjay and Van Den Berg, David J and Vedantam, Sailaja and Vitolins, Mara and Wang, Zhaoming and Ware, Erin B and Wassertheil-Smoller, Sylvia and Weir, David R and Wiencke, John K and Williams, Scott M and Williams, L Keoki and Wilson, James G and Witte, John S and Wrensch, Margaret and Wu, Xifeng and Yao, Jie and Zakai, Neil and Zanetti, Krista and Zemel, Babette S and Zhao, Wei and Zhao, Jing Hua and Zheng, Wei and Zhi, Degui and Zhou, Jie and Zhu, Xiaofeng and Ziegler, Regina G and Zmuda, Joe and Zonderman, Alan B and Psaty, Bruce M and Borecki, Ingrid B and Cupples, L Adrienne and Liu, Ching-Ti and Haiman, Christopher A and Loos, Ruth and Ng, Maggie C Y and North, Kari E} } @article {9001, title = {Epigenetic Age and the Risk of Incident Atrial Fibrillation.}, journal = {Circulation}, volume = {144}, year = {2021}, month = {2021 12 14}, pages = {1899-1911}, abstract = {

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a phenomenon referred to as epigenetic age acceleration (EAA), which may reflect accelerated biological aging. We sought to evaluate for associations between epigenetic age measures and incident AF.

METHODS: Measures for 4 epigenetic clocks (Horvath, Hannum, DNA methylation [DNAm] PhenoAge, and DNAm GrimAge) and an epigenetic predictor of PAI-1 (plasminogen activator inhibitor-1) levels (ie, DNAm PAI-1) were determined for study participants from 3 population-based cohort studies. Cox models evaluated for associations with incident AF and results were combined via random-effects meta-analyses. Two-sample summary-level Mendelian randomization analyses evaluated for associations between genetic instruments of the EAA measures and AF.

RESULTS: Among 5600 participants (mean age, 65.5 years; female, 60.1\%; Black, 50.7\%), there were 905 incident AF cases during a mean follow-up of 12.9 years. Unadjusted analyses revealed all 4 epigenetic clocks and the DNAm PAI-1 predictor were associated with statistically significant higher hazards of incident AF, though the magnitudes of their point estimates were smaller relative to the associations observed for chronological age. The pooled EAA estimates for each epigenetic measure, with the exception of Horvath EAA, were associated with incident AF in models adjusted for chronological age, race, sex, and smoking variables. After multivariable adjustment for additional known AF risk factors that could also potentially function as mediators, pooled EAA measures for 2 clocks remained statistically significant. Five-year increases in EAA measures for DNAm GrimAge and DNAm PhenoAge were associated with 19\% (adjusted hazard ratio [HR], 1.19 [95\% CI, 1.09-1.31]; <0.01) and 15\% (adjusted HR, 1.15 [95\% CI, 1.05-1.25]; <0.01) higher hazards of incident AF, respectively. Mendelian randomization analyses for the 5 EAA measures did not reveal statistically significant associations with AF.

CONCLUSIONS: Our study identified adjusted associations between EAA measures and incident AF, suggesting that biological aging plays an important role independent of chronological age, though a potential underlying causal relationship remains unclear. These aging processes may be modifiable and not constrained by the immutable factor of time.

}, keywords = {Aged, Aging, Atrial Fibrillation, DNA Methylation, Epigenesis, Genetic, Epigenomics, Female, Follow-Up Studies, Humans, Incidence, Male, Mendelian Randomization Analysis, Middle Aged, Models, Cardiovascular, Models, Genetic}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.121.056456}, author = {Roberts, Jason D and Vittinghoff, Eric and Lu, Ake T and Alonso, Alvaro and Wang, Biqi and Sitlani, Colleen M and Mohammadi-Shemirani, Pedrum and Fornage, Myriam and Kornej, Jelena and Brody, Jennifer A and Arking, Dan E and Lin, Honghuang and Heckbert, Susan R and Prokic, Ivana and Ghanbari, Mohsen and Skanes, Allan C and Bartz, Traci M and Perez, Marco V and Taylor, Kent D and Lubitz, Steven A and Ellinor, Patrick T and Lunetta, Kathryn L and Pankow, James S and Par{\'e}, Guillaume and Sotoodehnia, Nona and Benjamin, Emelia J and Horvath, Steve and Marcus, Gregory M} } @article {9007, title = {Identification of Functional Genetic Determinants of Cardiac Troponin T and I in a Multiethnic Population and Causal Associations With Atrial Fibrillation.}, journal = {Circ Genom Precis Med}, volume = {14}, year = {2021}, month = {2021 12}, pages = {e003460}, abstract = {

BACKGROUND: Elevated cardiac troponin levels in blood are associated with increased risk of cardiovascular diseases and mortality. Cardiac troponin levels are heritable, but their genetic architecture remains elusive.

METHODS: We conducted a transethnic genome-wide association analysis on high-sensitivity cTnT (cardiac troponin T; hs-cTnT) and high-sensitivity cTnI (cardiac troponin I; hs-cTnI) levels in 24 617 and 14 336 participants free of coronary heart disease and heart failure from 6 population-based cohorts, followed by a series of bioinformatic analyses to decipher the genetic architecture of hs-cTnT and hs-cTnI.

RESULTS: We identified 4 genome-wide significant loci for hs-cTnT including a novel locus rs3737882 in and 3 previously reported loci at , , and . One known locus at was replicated for hs-cTnI. One copy of C allele for rs3737882 was associated with a 6\% increase in hs-cTnT levels (minor allele frequency, 0.18; =2.80{\texttimes}10). We observed pleiotropic loci located at and . The proportions of variances explained by single-nucleotide polymorphisms were 10.15\% and 7.74\% for hs-cTnT and hs-cTnI, respectively. Single-nucleotide polymorphisms were colocalized with expression in heart tissues and hs-cTnT and with expression in artery, heart tissues, and whole blood and both troponins. Mendelian randomization analyses showed that genetically increased hs-cTnT and hs-cTnI levels were associated with higher odds of atrial fibrillation (odds ratio, 1.38 [95\% CI, 1.25-1.54] for hs-cTnT and 1.21 [95\% CI, 1.06-1.37] for hs-cTnI).

CONCLUSIONS: We identified a novel genetic locus associated with hs-cTnT in a multiethnic population and found that genetically regulated troponin levels were associated with atrial fibrillation.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.121.003460}, author = {Yang, Yunju and Bartz, Traci M and Brown, Michael R and Guo, Xiuqing and Zilh{\~a}o, Nuno R and Trompet, Stella and Weiss, Stefan and Yao, Jie and Brody, Jennifer A and deFilippi, Christopher R and Hoogeveen, Ron C and Lin, Henry J and Gudnason, Vilmundur and Ballantyne, Christie M and D{\"o}rr, Marcus and Jukema, J Wouter and Petersmann, Astrid and Psaty, Bruce M and Rotter, Jerome I and Boerwinkle, Eric and Fornage, Myriam and Jun, Goo and Yu, Bing} } @article {9002, title = {Meta-analyses identify DNA methylation associated with kidney function and damage.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 12 09}, pages = {7174}, abstract = {

Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. Associations of DNA methylation with kidney function, such as CpGs at JAZF1, PELI1 and CHD2 were validated in kidney tissue. Methylation at PHRF1, LDB2, CSRNP1 and IRF5 indicated causal effects on kidney function. Enrichment analyses revealed pathways related to hemostasis and blood cell migration for estimated glomerular filtration rate, and immune cell activation and response for urinary albumin-to-creatinineratio-associated CpGs.

}, keywords = {Adult, Aged, CpG Islands, DNA Methylation, Female, Glomerular Filtration Rate, Humans, Interferon Regulatory Factors, Kidney, Kidney Function Tests, LIM Domain Proteins, Male, Membrane Proteins, Middle Aged, Renal Insufficiency, Chronic, Transcription Factors}, issn = {2041-1723}, doi = {10.1038/s41467-021-27234-3}, author = {Schlosser, Pascal and Tin, Adrienne and Matias-Garcia, Pamela R and Thio, Chris H L and Joehanes, Roby and Liu, Hongbo and Weihs, Antoine and Yu, Zhi and Hoppmann, Anselm and Grundner-Culemann, Franziska and Min, Josine L and Adeyemo, Adebowale A and Agyemang, Charles and Arnl{\"o}v, Johan and Aziz, Nasir A and Baccarelli, Andrea and Bochud, Murielle and Brenner, Hermann and Breteler, Monique M B and Carmeli, Cristian and Chaker, Layal and Chambers, John C and Cole, Shelley A and Coresh, Josef and Corre, Tanguy and Correa, Adolfo and Cox, Simon R and de Klein, Niek and Delgado, Graciela E and Domingo-Relloso, Arce and Eckardt, Kai-Uwe and Ekici, Arif B and Endlich, Karlhans and Evans, Kathryn L and Floyd, James S and Fornage, Myriam and Franke, Lude and Fraszczyk, Eliza and Gao, Xu and G{\`a}o, Xin and Ghanbari, Mohsen and Ghasemi, Sahar and Gieger, Christian and Greenland, Philip and Grove, Megan L and Harris, Sarah E and Hemani, Gibran and Henneman, Peter and Herder, Christian and Horvath, Steve and Hou, Lifang and Hurme, Mikko A and Hwang, Shih-Jen and Jarvelin, Marjo-Riitta and Kardia, Sharon L R and Kasela, Silva and Kleber, Marcus E and Koenig, Wolfgang and Kooner, Jaspal S and Kramer, Holly and Kronenberg, Florian and Kuhnel, Brigitte and Lehtim{\"a}ki, Terho and Lind, Lars and Liu, Dan and Liu, Yongmei and Lloyd-Jones, Donald M and Lohman, Kurt and Lorkowski, Stefan and Lu, Ake T and Marioni, Riccardo E and M{\"a}rz, Winfried and McCartney, Daniel L and Meeks, Karlijn A C and Milani, Lili and Mishra, Pashupati P and Nauck, Matthias and Navas-Acien, Ana and Nowak, Christoph and Peters, Annette and Prokisch, Holger and Psaty, Bruce M and Raitakari, Olli T and Ratliff, Scott M and Reiner, Alex P and Rosas, Sylvia E and Sch{\"o}ttker, Ben and Schwartz, Joel and Sedaghat, Sanaz and Smith, Jennifer A and Sotoodehnia, Nona and Stocker, Hannah R and Stringhini, Silvia and Sundstr{\"o}m, Johan and Swenson, Brenton R and Tellez-Plaza, Maria and van Meurs, Joyce B J and van Vliet-Ostaptchouk, Jana V and Venema, Andrea and Verweij, Niek and Walker, Rosie M and Wielscher, Matthias and Winkelmann, Juliane and Wolffenbuttel, Bruce H R and Zhao, Wei and Zheng, Yinan and Loh, Marie and Snieder, Harold and Levy, Daniel and Waldenberger, Melanie and Susztak, Katalin and K{\"o}ttgen, Anna and Teumer, Alexander} } @article {9005, title = {Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits.}, journal = {HGG Adv}, volume = {2}, year = {2021}, month = {2021 Jan 14}, abstract = {

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value <5e-8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (), synaptic function and neurotransmission (), as well as genes previously implicated in neuropsychiatric or stress-related disorders (). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.

}, issn = {2666-2477}, doi = {10.1016/j.xhgg.2020.100013}, author = {Sun, Daokun and Richard, Melissa and Musani, Solomon K and Sung, Yun Ju and Winkler, Thomas W and Schwander, Karen and Chai, Jin Fang and Guo, Xiuqing and Kilpel{\"a}inen, Tuomas O and Vojinovic, Dina and Aschard, Hugues and Bartz, Traci M and Bielak, Lawrence F and Brown, Michael R and Chitrala, Kumaraswamy and Hartwig, Fernando P and Horimoto, Andrea R V R and Liu, Yongmei and Manning, Alisa K and Noordam, Raymond and Smith, Albert V and Harris, Sarah E and Kuhnel, Brigitte and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Rauramaa, Rainer and van der Most, Peter J and Wang, Rujia and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Arking, Dan E and Arnett, Donna K and Barac, Ana and Boerwinkle, Eric and Broeckel, Ulrich and Chakravarti, Aravinda and Chen, Yii-Der Ida and Cupples, L Adrienne and Davigulus, Martha L and de Las Fuentes, Lisa and de Mutsert, Ren{\'e}e and de Vries, Paul S and Delaney, Joseph A C and Roux, Ana V Diez and D{\"o}rr, Marcus and Faul, Jessica D and Fretts, Amanda M and Gallo, Linda C and Grabe, Hans J{\"o}rgen and Gu, C Charles and Harris, Tamara B and Hartman, Catharina C A and Heikkinen, Sami and Ikram, M Arfan and Isasi, Carmen and Johnson, W Craig and Jonas, Jost Bruno and Kaplan, Robert C and Komulainen, Pirjo and Krieger, Jose E and Levy, Daniel and Liu, Jianjun and Lohman, Kurt and Luik, Annemarie I and Martin, Lisa W and Meitinger, Thomas and Milaneschi, Yuri and O{\textquoteright}Connell, Jeff R and Palmas, Walter R and Peters, Annette and Peyser, Patricia A and Pulkki-R{\r a}back, Laura and Raffel, Leslie J and Reiner, Alex P and Rice, Kenneth and Robinson, Jennifer G and Rosendaal, Frits R and Schmidt, Carsten Oliver and Schreiner, Pamela J and Schwettmann, Lars and Shikany, James M and Shu, Xiao-Ou and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Sotoodehnia, Nona and Strauch, Konstantin and Tai, E Shyong and Taylor, Kent and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Waldenberger, Melanie and Wee, Hwee-Lin and Wei, Wen-Bin and Wilson, Gregory and Xuan, Deng and Yao, Jie and Zeng, Donglin and Zhao, Wei and Zhu, Xiaofeng and Zonderman, Alan B and Becker, Diane M and Deary, Ian J and Gieger, Christian and Lakka, Timo A and Lehtim{\"a}ki, Terho and North, Kari E and Oldehinkel, Albertine J and Penninx, Brenda W J H and Snieder, Harold and Wang, Ya-Xing and Weir, David R and Zheng, Wei and Evans, Michele K and Gauderman, W James and Gudnason, Vilmundur and Horta, Bernardo L and Liu, Ching-Ti and Mook-Kanamori, Dennis O and Morrison, Alanna C and Pereira, Alexandre C and Psaty, Bruce M and Amin, Najaf and Fox, Ervin R and Kooperberg, Charles and Sim, Xueling and Bierut, Laura and Rotter, Jerome I and Kardia, Sharon L R and Franceschini, Nora and Rao, Dabeeru C and Fornage, Myriam} } @article {8714, title = {Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure.}, journal = {Mol Psychiatry}, year = {2021}, month = {2021 Apr 15}, abstract = {

Long and short sleep duration are associated with elevated blood pressure (BP), possibly through effects on molecular pathways that influence neuroendocrine and vascular systems. To gain new insights into the genetic basis of sleep-related BP variation, we performed genome-wide gene by short or long sleep duration interaction analyses on four BP traits (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure) across five ancestry groups in two stages using 2 degree of freedom (df) joint test followed by 1df test of interaction effects. Primary multi-ancestry analysis in 62,969 individuals in stage 1 identified three novel gene by sleep interactions that were replicated in an additional 59,296 individuals in stage 2 (stage 1 + 2 P < 5 {\texttimes} 10), including rs7955964 (FIGNL2/ANKRD33) that increases BP among long sleepers, and rs73493041 (SNORA26/C9orf170) and rs10406644 (KCTD15/LSM14A) that increase BP among short sleepers (P < 5 {\texttimes} 10). Secondary ancestry-specific analysis identified another novel gene by long sleep interaction at rs111887471 (TRPC3/KIAA1109) in individuals of African ancestry (P = 2 {\texttimes} 10). Combined stage 1 and 2 analyses additionally identified significant gene by long sleep interactions at 10 loci including MKLN1 and RGL3/ELAVL3 previously associated with BP, and significant gene by short sleep interactions at 10 loci including C2orf43 previously associated with BP (P < 10). 2df test also identified novel loci for BP after modeling sleep that has known functions in sleep-wake regulation, nervous and cardiometabolic systems. This study indicates that sleep and primary mechanisms regulating BP may interact to elevate BP level, suggesting novel insights into sleep-related BP regulation.

}, issn = {1476-5578}, doi = {10.1038/s41380-021-01087-0}, author = {Wang, Heming and Noordam, Raymond and Cade, Brian E and Schwander, Karen and Winkler, Thomas W and Lee, Jiwon and Sung, Yun Ju and Bentley, Amy R and Manning, Alisa K and Aschard, Hugues and Kilpel{\"a}inen, Tuomas O and Ilkov, Marjan and Brown, Michael R and Horimoto, Andrea R and Richard, Melissa and Bartz, Traci M and Vojinovic, Dina and Lim, Elise and Nierenberg, Jovia L and Liu, Yongmei and Chitrala, Kumaraswamynaidu and Rankinen, Tuomo and Musani, Solomon K and Franceschini, Nora and Rauramaa, Rainer and Alver, Maris and Zee, Phyllis C and Harris, Sarah E and van der Most, Peter J and Nolte, Ilja M and Munroe, Patricia B and Palmer, Nicholette D and Kuhnel, Brigitte and Weiss, Stefan and Wen, Wanqing and Hall, Kelly A and Lyytik{\"a}inen, Leo-Pekka and O{\textquoteright}Connell, Jeff and Eiriksdottir, Gudny and Launer, Lenore J and de Vries, Paul S and Arking, Dan E and Chen, Han and Boerwinkle, Eric and Krieger, Jose E and Schreiner, Pamela J and Sidney, Stephen and Shikany, James M and Rice, Kenneth and Chen, Yii-Der Ida and Gharib, Sina A and Bis, Joshua C and Luik, Annemarie I and Ikram, M Arfan and Uitterlinden, Andr{\'e} G and Amin, Najaf and Xu, Hanfei and Levy, Daniel and He, Jiang and Lohman, Kurt K and Zonderman, Alan B and Rice, Treva K and Sims, Mario and Wilson, Gregory and Sofer, Tamar and Rich, Stephen S and Palmas, Walter and Yao, Jie and Guo, Xiuqing and Rotter, Jerome I and Biermasz, Nienke R and Mook-Kanamori, Dennis O and Martin, Lisa W and Barac, Ana and Wallace, Robert B and Gottlieb, Daniel J and Komulainen, Pirjo and Heikkinen, Sami and M{\"a}gi, Reedik and Milani, Lili and Metspalu, Andres and Starr, John M and Milaneschi, Yuri and Waken, R J and Gao, Chuan and Waldenberger, Melanie and Peters, Annette and Strauch, Konstantin and Meitinger, Thomas and Roenneberg, Till and V{\"o}lker, Uwe and D{\"o}rr, Marcus and Shu, Xiao-Ou and Mukherjee, Sutapa and Hillman, David R and K{\"a}h{\"o}nen, Mika and Wagenknecht, Lynne E and Gieger, Christian and Grabe, Hans J and Zheng, Wei and Palmer, Lyle J and Lehtim{\"a}ki, Terho and Gudnason, Vilmundur and Morrison, Alanna C and Pereira, Alexandre C and Fornage, Myriam and Psaty, Bruce M and van Duijn, Cornelia M and Liu, Ching-Ti and Kelly, Tanika N and Evans, Michele K and Bouchard, Claude and Fox, Ervin R and Kooperberg, Charles and Zhu, Xiaofeng and Lakka, Timo A and Esko, T{\~o}nu and North, Kari E and Deary, Ian J and Snieder, Harold and Penninx, Brenda W J H and Gauderman, W James and Rao, Dabeeru C and Redline, Susan and van Heemst, Diana} } @article {8666, title = {Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.}, journal = {Nature}, volume = {590}, year = {2021}, month = {2021 02}, pages = {290-299}, abstract = {

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes). In the first 53,831 TOPMed samples, we detected more than 400~million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400~million detected variants, 97\% have frequencies of less than 1\% and 46\% are singletons that are present in only one individual (53\% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01\%.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03205-y}, author = {Taliun, Daniel and Harris, Daniel N and Kessler, Michael D and Carlson, Jedidiah and Szpiech, Zachary A and Torres, Raul and Taliun, Sarah A Gagliano and Corvelo, Andr{\'e} and Gogarten, Stephanie M and Kang, Hyun Min and Pitsillides, Achilleas N and LeFaive, Jonathon and Lee, Seung-Been and Tian, Xiaowen and Browning, Brian L and Das, Sayantan and Emde, Anne-Katrin and Clarke, Wayne E and Loesch, Douglas P and Shetty, Amol C and Blackwell, Thomas W and Smith, Albert V and Wong, Quenna and Liu, Xiaoming and Conomos, Matthew P and Bobo, Dean M and Aguet, Francois and Albert, Christine and Alonso, Alvaro and Ardlie, Kristin G and Arking, Dan E and Aslibekyan, Stella and Auer, Paul L and Barnard, John and Barr, R Graham and Barwick, Lucas and Becker, Lewis C and Beer, Rebecca L and Benjamin, Emelia J and Bielak, Lawrence F and Blangero, John and Boehnke, Michael and Bowden, Donald W and Brody, Jennifer A and Burchard, Esteban G and Cade, Brian E and Casella, James F and Chalazan, Brandon and Chasman, Daniel I and Chen, Yii-Der Ida and Cho, Michael H and Choi, Seung Hoan and Chung, Mina K and Clish, Clary B and Correa, Adolfo and Curran, Joanne E and Custer, Brian and Darbar, Dawood and Daya, Michelle and de Andrade, Mariza and DeMeo, Dawn L and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Eng, Celeste and Fatkin, Diane and Fingerlin, Tasha and Forer, Lukas and Fornage, Myriam and Franceschini, Nora and Fuchsberger, Christian and Fullerton, Stephanie M and Germer, Soren and Gladwin, Mark T and Gottlieb, Daniel J and Guo, Xiuqing and Hall, Michael E and He, Jiang and Heard-Costa, Nancy L and Heckbert, Susan R and Irvin, Marguerite R and Johnsen, Jill M and Johnson, Andrew D and Kaplan, Robert and Kardia, Sharon L R and Kelly, Tanika and Kelly, Shannon and Kenny, Eimear E and Kiel, Douglas P and Klemmer, Robert and Konkle, Barbara A and Kooperberg, Charles and K{\"o}ttgen, Anna and Lange, Leslie A and Lasky-Su, Jessica and Levy, Daniel and Lin, Xihong and Lin, Keng-Han and Liu, Chunyu and Loos, Ruth J F and Garman, Lori and Gerszten, Robert and Lubitz, Steven A and Lunetta, Kathryn L and Mak, Angel C Y and Manichaikul, Ani and Manning, Alisa K and Mathias, Rasika A and McManus, David D and McGarvey, Stephen T and Meigs, James B and Meyers, Deborah A and Mikulla, Julie L and Minear, Mollie A and Mitchell, Braxton D and Mohanty, Sanghamitra and Montasser, May E and Montgomery, Courtney and Morrison, Alanna C and Murabito, Joanne M and Natale, Andrea and Natarajan, Pradeep and Nelson, Sarah C and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pankratz, Nathan and Peloso, Gina M and Peyser, Patricia A and Pleiness, Jacob and Post, Wendy S and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Roden, Dan and Rotter, Jerome I and Ruczinski, Ingo and Sarnowski, Chloe and Schoenherr, Sebastian and Schwartz, David A and Seo, Jeong-Sun and Seshadri, Sudha and Sheehan, Vivien A and Sheu, Wayne H and Shoemaker, M Benjamin and Smith, Nicholas L and Smith, Jennifer A and Sotoodehnia, Nona and Stilp, Adrienne M and Tang, Weihong and Taylor, Kent D and Telen, Marilyn and Thornton, Timothy A and Tracy, Russell P and Van Den Berg, David J and Vasan, Ramachandran S and Viaud-Martinez, Karine A and Vrieze, Scott and Weeks, Daniel E and Weir, Bruce S and Weiss, Scott T and Weng, Lu-Chen and Willer, Cristen J and Zhang, Yingze and Zhao, Xutong and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Boerwinkle, Eric and Gabriel, Stacey and Gibbs, Richard and Rice, Kenneth M and Rich, Stephen S and Silverman, Edwin K and Qasba, Pankaj and Gan, Weiniu and Papanicolaou, George J and Nickerson, Deborah A and Browning, Sharon R and Zody, Michael C and Z{\"o}llner, Sebastian and Wilson, James G and Cupples, L Adrienne and Laurie, Cathy C and Jaquish, Cashell E and Hernandez, Ryan D and O{\textquoteright}Connor, Timothy D and Abecasis, Goncalo R} } @article {8713, title = {A System for Phenotype Harmonization in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program.}, journal = {Am J Epidemiol}, year = {2021}, month = {2021 Apr 16}, abstract = {

Genotype-phenotype association studies often combine phenotype data from multiple studies to increase power. Harmonization of the data usually requires substantial effort due to heterogeneity in phenotype definitions, study design, data collection procedures, and data set organization. Here we describe a centralized system for phenotype harmonization that includes input from phenotype domain and study experts, quality control, documentation, reproducible results, and data sharing mechanisms. This system was developed for the National Heart, Lung and Blood Institute{\textquoteright}s Trans-Omics for Precision Medicine program, which is generating genomic and other omics data for >80 studies with extensive phenotype data. To date, 63 phenotypes have been harmonized across thousands of participants from up to 17 studies per phenotype (participants recruited 1948-2012). We discuss challenges in this undertaking and how they were addressed. The harmonized phenotype data and associated documentation have been submitted to National Institutes of Health data repositories for controlled-access by the scientific community. We also provide materials to facilitate future harmonization efforts by the community, which include (1) the code used to generate the 63 harmonized phenotypes, enabling others to reproduce, modify or extend these harmonizations to additional studies; and (2) results of labeling thousands of phenotype variables with controlled vocabulary terms.

}, issn = {1476-6256}, doi = {10.1093/aje/kwab115}, author = {Stilp, Adrienne M and Emery, Leslie S and Broome, Jai G and Buth, Erin J and Khan, Alyna T and Laurie, Cecelia A and Wang, Fei Fei and Wong, Quenna and Chen, Dongquan and D{\textquoteright}Augustine, Catherine M and Heard-Costa, Nancy L and Hohensee, Chancellor R and Johnson, William Craig and Juarez, Lucia D and Liu, Jingmin and Mutalik, Karen M and Raffield, Laura M and Wiggins, Kerri L and de Vries, Paul S and Kelly, Tanika N and Kooperberg, Charles and Natarajan, Pradeep and Peloso, Gina M and Peyser, Patricia A and Reiner, Alex P and Arnett, Donna K and Aslibekyan, Stella and Barnes, Kathleen C and Bielak, Lawrence F and Bis, Joshua C and Cade, Brian E and Chen, Ming-Huei and Correa, Adolfo and Cupples, L Adrienne and de Andrade, Mariza and Ellinor, Patrick T and Fornage, Myriam and Franceschini, Nora and Gan, Weiniu and Ganesh, Santhi K and Graffelman, Jan and Grove, Megan L and Guo, Xiuqing and Hawley, Nicola L and Hsu, Wan-Ling and Jackson, Rebecca D and Jaquish, Cashell E and Johnson, Andrew D and Kardia, Sharon L R and Kelly, Shannon and Lee, Jiwon and Mathias, Rasika A and McGarvey, Stephen T and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and North, Kari E and Nouraie, Seyed Mehdi and Oelsner, Elizabeth C and Pankratz, Nathan and Rich, Stephen S and Rotter, Jerome I and Smith, Jennifer A and Taylor, Kent D and Vasan, Ramachandran S and Weeks, Daniel E and Weiss, Scott T and Wilson, Carla G and Yanek, Lisa R and Psaty, Bruce M and Heckbert, Susan R and Laurie, Cathy C} } @article {8913, title = {Whole genome sequence analysis of platelet traits in the NHLBI trans-omics for precision medicine initiative.}, journal = {Hum Mol Genet}, year = {2021}, month = {2021 Sep 06}, abstract = {

Platelets play a key role in thrombosis and hemostasis. Platelet count (PLT) and mean platelet volume (MPV) are highly heritable quantitative traits, with hundreds of genetic signals previously identified, mostly in European ancestry populations. We here utilize whole genome sequencing from NHLBI{\textquoteright}s Trans-Omics for Precision Medicine Initiative (TOPMed) in a large multi-ethnic sample to further explore common and rare variation contributing to PLT (n = 61 200) and MPV (n = 23 485). We identified and replicated secondary signals at MPL (rs532784633) and PECAM1 (rs73345162), both more common in African ancestry populations. We also observed rare variation in Mendelian platelet related disorder genes influencing variation in platelet traits in TOPMed cohorts (not enriched for blood disorders). For example, association of GP9 with lower PLT and higher MPV was partly driven by a pathogenic Bernard-Soulier syndrome variant (rs5030764, p.Asn61Ser), and the signals at TUBB1 and CD36 were partly driven by loss of function variants not annotated as pathogenic in ClinVar (rs199948010 and rs571975065). However, residual signal remained for these gene-based signals after adjusting for lead variants, suggesting that additional variants in Mendelian genes with impacts in general population cohorts remain to be identified. Gene-based signals were also identified at several GWAS identified loci for genes not annotated for Mendelian platelet disorders (PTPRH, TET2, CHEK2), with somatic variation driving the result at TET2. These results highlight the value of whole genome sequencing in populations of diverse genetic ancestry to identify novel regulatory and coding signals, even for well-studied traits like platelet traits.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddab252}, author = {Little, Amarise and Hu, Yao and Sun, Quan and Jain, Deepti and Broome, Jai and Chen, Ming-Huei and Thibord, Florian and McHugh, Caitlin and Surendran, Praveen and Blackwell, Thomas W and Brody, Jennifer A and Bhan, Arunoday and Chami, Nathalie and Vries, Paul S and Ekunwe, Lynette and Heard-Costa, Nancy and Hobbs, Brian D and Manichaikul, Ani and Moon, Jee-Young and Preuss, Michael H and Ryan, Kathleen and Wang, Zhe and Wheeler, Marsha and Yanek, Lisa R and Abecasis, Goncalo R and Almasy, Laura and Beaty, Terri H and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Butterworth, Adam S and Choquet, Helene and Correa, Adolfo and Curran, Joanne E and Faraday, Nauder and Fornage, Myriam and Glahn, David C and Hou, Lifang and Jorgenson, Eric and Kooperberg, Charles and Lewis, Joshua P and Lloyd-Jones, Donald M and Loos, Ruth J F and Min, Nancy and Mitchell, Braxton D and Morrison, Alanna C and Nickerson, Debbie and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Pankratz, Nathan and Psaty, Bruce M and Vasan, Ramachandran S and Rich, Stephen S and Rotter, Jerome I and Smith, Albert V and Smith, Nicholas L and Tang, Hua and Tracy, Russell P and Conomos, Matthew P and Laurie, Cecelia A and Mathias, Rasika A and Li, Yun and Auer, Paul L and Thornton, Timothy and Reiner, Alexander P and Johnson, Andrew D and Raffield, Laura M} } @article {8779, title = {Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 05 06}, pages = {874-893}, abstract = {

Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3~bp indel p.Lys2169del (g.88717175_88717177TCT[4]) (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis (MIM: 194380), associated with higher mean corpuscular hemoglobin concentration (MCHC). In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.

}, keywords = {Adult, Aged, Chromosomes, Human, Pair 16, Datasets as Topic, Erythrocytes, Female, Gene Editing, Genetic Variation, Genome-Wide Association Study, HEK293 Cells, Humans, Male, Middle Aged, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Quality Control, Reproducibility of Results, United States}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.04.003}, author = {Hu, Yao and Stilp, Adrienne M and McHugh, Caitlin P and Rao, Shuquan and Jain, Deepti and Zheng, Xiuwen and Lane, John and M{\'e}ric de Bellefon, S{\'e}bastian and Raffield, Laura M and Chen, Ming-Huei and Yanek, Lisa R and Wheeler, Marsha and Yao, Yao and Ren, Chunyan and Broome, Jai and Moon, Jee-Young and de Vries, Paul S and Hobbs, Brian D and Sun, Quan and Surendran, Praveen and Brody, Jennifer A and Blackwell, Thomas W and Choquet, Helene and Ryan, Kathleen and Duggirala, Ravindranath and Heard-Costa, Nancy and Wang, Zhe and Chami, Nathalie and Preuss, Michael H and Min, Nancy and Ekunwe, Lynette and Lange, Leslie A and Cushman, Mary and Faraday, Nauder and Curran, Joanne E and Almasy, Laura and Kundu, Kousik and Smith, Albert V and Gabriel, Stacey and Rotter, Jerome I and Fornage, Myriam and Lloyd-Jones, Donald M and Vasan, Ramachandran S and Smith, Nicholas L and North, Kari E and Boerwinkle, Eric and Becker, Lewis C and Lewis, Joshua P and Abecasis, Goncalo R and Hou, Lifang and O{\textquoteright}Connell, Jeffrey R and Morrison, Alanna C and Beaty, Terri H and Kaplan, Robert and Correa, Adolfo and Blangero, John and Jorgenson, Eric and Psaty, Bruce M and Kooperberg, Charles and Walton, Russell T and Kleinstiver, Benjamin P and Tang, Hua and Loos, Ruth J F and Soranzo, Nicole and Butterworth, Adam S and Nickerson, Debbie and Rich, Stephen S and Mitchell, Braxton D and Johnson, Andrew D and Auer, Paul L and Li, Yun and Mathias, Rasika A and Lettre, Guillaume and Pankratz, Nathan and Laurie, Cathy C and Laurie, Cecelia A and Bauer, Daniel E and Conomos, Matthew P and Reiner, Alexander P} } @article {8914, title = {Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 10 07}, pages = {1836-1851}, abstract = {

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.

}, keywords = {Asthma, Biomarkers, Dermatitis, Atopic, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Leukocytes, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Polymorphism, Single Nucleotide, Prognosis, Proteome, Pulmonary Disease, Chronic Obstructive, Quantitative Trait Loci, United Kingdom, United States, Whole Genome Sequencing}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.08.007}, author = {Mikhaylova, Anna V and McHugh, Caitlin P and Polfus, Linda M and Raffield, Laura M and Boorgula, Meher Preethi and Blackwell, Thomas W and Brody, Jennifer A and Broome, Jai and Chami, Nathalie and Chen, Ming-Huei and Conomos, Matthew P and Cox, Corey and Curran, Joanne E and Daya, Michelle and Ekunwe, Lynette and Glahn, David C and Heard-Costa, Nancy and Highland, Heather M and Hobbs, Brian D and Ilboudo, Yann and Jain, Deepti and Lange, Leslie A and Miller-Fleming, Tyne W and Min, Nancy and Moon, Jee-Young and Preuss, Michael H and Rosen, Jonathon and Ryan, Kathleen and Smith, Albert V and Sun, Quan and Surendran, Praveen and de Vries, Paul S and Walter, Klaudia and Wang, Zhe and Wheeler, Marsha and Yanek, Lisa R and Zhong, Xue and Abecasis, Goncalo R and Almasy, Laura and Barnes, Kathleen C and Beaty, Terri H and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Butterworth, Adam S and Chavan, Sameer and Cho, Michael H and Choquet, Helene and Correa, Adolfo and Cox, Nancy and DeMeo, Dawn L and Faraday, Nauder and Fornage, Myriam and Gerszten, Robert E and Hou, Lifang and Johnson, Andrew D and Jorgenson, Eric and Kaplan, Robert and Kooperberg, Charles and Kundu, Kousik and Laurie, Cecelia A and Lettre, Guillaume and Lewis, Joshua P and Li, Bingshan and Li, Yun and Lloyd-Jones, Donald M and Loos, Ruth J F and Manichaikul, Ani and Meyers, Deborah A and Mitchell, Braxton D and Morrison, Alanna C and Ngo, Debby and Nickerson, Deborah A and Nongmaithem, Suraj and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Ortega, Victor E and Pankratz, Nathan and Perry, James A and Psaty, Bruce M and Rich, Stephen S and Soranzo, Nicole and Rotter, Jerome I and Silverman, Edwin K and Smith, Nicholas L and Tang, Hua and Tracy, Russell P and Thornton, Timothy A and Vasan, Ramachandran S and Zein, Joe and Mathias, Rasika A and Reiner, Alexander P and Auer, Paul L} } @article {9042, title = {Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data.}, journal = {Nat Genet}, volume = {54}, year = {2022}, month = {2022 Mar}, pages = {263-273}, abstract = {

Analyses of data from genome-wide association studies on unrelated individuals have shown that, for human traits and diseases, approximately one-third to two-thirds of heritability is captured by common SNPs. However, it is not known whether the remaining heritability is due to the imperfect tagging of causal variants by common SNPs, in particular whether the causal variants are rare, or whether it is overestimated due to bias in inference from pedigree data. Here we estimated heritability for height and body mass index (BMI) from whole-genome sequence data on 25,465 unrelated individuals of European ancestry. The estimated heritability was 0.68 (standard error 0.10) for height and 0.30 (standard error 0.10) for body mass index. Low minor allele frequency variants in low linkage disequilibrium (LD) with neighboring variants were enriched for heritability, to a greater extent for protein-altering variants, consistent with negative selection. Our results imply that rare variants, in particular those in regions of low linkage disequilibrium, are a major source of the still missing heritability of complex traits and disease.

}, issn = {1546-1718}, doi = {10.1038/s41588-021-00997-7}, author = {Wainschtein, Pierrick and Jain, Deepti and Zheng, Zhili and Cupples, L Adrienne and Shadyab, Aladdin H and McKnight, Barbara and Shoemaker, Benjamin M and Mitchell, Braxton D and Psaty, Bruce M and Kooperberg, Charles and Liu, Ching-Ti and Albert, Christine M and Roden, Dan and Chasman, Daniel I and Darbar, Dawood and Lloyd-Jones, Donald M and Arnett, Donna K and Regan, Elizabeth A and Boerwinkle, Eric and Rotter, Jerome I and O{\textquoteright}Connell, Jeffrey R and Yanek, Lisa R and de Andrade, Mariza and Allison, Matthew A and McDonald, Merry-Lynn N and Chung, Mina K and Fornage, Myriam and Chami, Nathalie and Smith, Nicholas L and Ellinor, Patrick T and Vasan, Ramachandran S and Mathias, Rasika A and Loos, Ruth J F and Rich, Stephen S and Lubitz, Steven A and Heckbert, Susan R and Redline, Susan and Guo, Xiuqing and Chen, Y -D Ida and Laurie, Cecelia A and Hernandez, Ryan D and McGarvey, Stephen T and Goddard, Michael E and Laurie, Cathy C and North, Kari E and Lange, Leslie A and Weir, Bruce S and Yengo, Loic and Yang, Jian and Visscher, Peter M} } @article {8986, title = {Clonal Hematopoiesis Is Associated With Higher Risk of Stroke.}, journal = {Stroke}, volume = {53}, year = {2022}, month = {2022 Mar}, pages = {788-797}, abstract = {

BACKGROUND AND PURPOSE: Clonal hematopoiesis of indeterminate potential (CHIP) is a novel age-related risk factor for cardiovascular disease-related morbidity and mortality. The association of CHIP with risk of incident ischemic stroke was reported previously in an exploratory analysis including a small number of incident stroke cases without replication and lack of stroke subphenotyping. The purpose of this study was to discover whether CHIP is a risk factor for ischemic or hemorrhagic stroke.

METHODS: We utilized plasma genome sequence data of blood DNA to identify CHIP in 78 752 individuals from 8 prospective cohorts and biobanks. We then assessed the association of CHIP and commonly mutated individual CHIP driver genes (, , and ) with any stroke, ischemic stroke, and hemorrhagic stroke.

RESULTS: CHIP was associated with an increased risk of total stroke (hazard ratio, 1.14 [95\% CI, 1.03-1.27]; =0.01) after adjustment for age, sex, and race. We observed associations with CHIP with risk of hemorrhagic stroke (hazard ratio, 1.24 [95\% CI, 1.01-1.51]; =0.04) and with small vessel ischemic stroke subtypes. In gene-specific association results, showed the strongest association with total stroke and ischemic stroke, whereas and were each associated with increased risk of hemorrhagic stroke.

CONCLUSIONS: CHIP is associated with an increased risk of stroke, particularly with hemorrhagic and small vessel ischemic stroke. Future studies clarifying the relationship between CHIP and subtypes of stroke are needed.

}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.121.037388}, author = {Bhattacharya, Romit and Zekavat, Seyedeh M and Haessler, Jeffrey and Fornage, Myriam and Raffield, Laura and Uddin, Md Mesbah and Bick, Alexander G and Niroula, Abhishek and Yu, Bing and Gibson, Christopher and Griffin, Gabriel and Morrison, Alanna C and Psaty, Bruce M and Longstreth, William T and Bis, Joshua C and Rich, Stephen S and Rotter, Jerome I and Tracy, Russell P and Correa, Adolfo and Seshadri, Sudha and Johnson, Andrew and Collins, Jason M and Hayden, Kathleen M and Madsen, Tracy E and Ballantyne, Christie M and Jaiswal, Siddhartha and Ebert, Benjamin L and Kooperberg, Charles and Manson, JoAnn E and Whitsel, Eric A and Natarajan, Pradeep and Reiner, Alexander P} } @article {9246, title = {Correlations between complex human phenotypes vary by genetic background, gender, and environment.}, journal = {Cell Rep Med}, volume = {3}, year = {2022}, month = {2022 Dec 20}, pages = {100844}, abstract = {

We develop a closed-form Haseman-Elston estimator for genetic and environmental correlation coefficients between complex phenotypes, which we term HEc, that is as precise as GCTA yet \~{}20{\texttimes} faster. We estimate genetic and environmental correlations between over 7,000 phenotype pairs in subgroups from the Trans-Omics in Precision Medicine (TOPMed) program. We demonstrate substantial differences in both heritabilities and genetic correlations for multiple phenotypes and phenotype pairs between individuals of self-reported Black, Hispanic/Latino, and White backgrounds. We similarly observe differences in many of the genetic and environmental correlations between genders. To estimate the contribution of genetics to the observed phenotypic correlation, we introduce "fractional genetic correlation" as the fraction of phenotypic correlation explained by genetics. Finally, we quantify the enrichment of correlations between phenotypic domains, each of which is comprised of multiple phenotypes. Altogether, we demonstrate that the observed correlations between complex human phenotypes depend on the genetic background of the individuals, their gender, and their environment.

}, keywords = {Female, Genetic Background, Humans, Male, Phenotype}, issn = {2666-3791}, doi = {10.1016/j.xcrm.2022.100844}, author = {Elgart, Michael and Goodman, Matthew O and Isasi, Carmen and Chen, Han and Morrison, Alanna C and de Vries, Paul S and Xu, Huichun and Manichaikul, Ani W and Guo, Xiuqing and Franceschini, Nora and Psaty, Bruce M and Rich, Stephen S and Rotter, Jerome I and Lloyd-Jones, Donald M and Fornage, Myriam and Correa, Adolfo and Heard-Costa, Nancy L and Vasan, Ramachandran S and Hernandez, Ryan and Kaplan, Robert C and Redline, Susan and Sofer, Tamar} } @article {9184, title = {Epigenetic and integrative cross-omics analyses of cerebral white matter hyperintensities on MRI.}, journal = {Brain}, year = {2022}, month = {2022 Aug 09}, abstract = {

Cerebral white matter hyperintensities on MRI are markers of cerebral small vessel disease, a major risk factor for dementia and stroke. Despite the successful identification of multiple genetic variants associated with this highly heritable condition, its genetic architecture remains incompletely understood. More specifically, the role of DNA methylation has received little attention. We investigated the association between white matter hyperintensity burden and DNA methylation in blood at approximately 450,000 CpG sites in 9,732 middle-aged to older adults from 14 community-based studies. Single-CpG and region-based association analyses were carried out. Functional annotation and integrative cross-omics analyses were performed to identify novel genes underlying the relationship between DNA methylation and white matter hyperintensities. We identified 12 single-CpG and 46 region-based DNA methylation associations with white matter hyperintensity burden. Our top discovery single CpG, cg24202936 (P = 7.6 {\texttimes} 10-8), was associated with F2 expression in blood (P = 6.4 {\texttimes} 10-5), and colocalized with FOLH1 expression in brain (posterior probability =0.75). Our top differentially methylated regions were in PRMT1 and in CCDC144NL-AS1, which were also represented in single-CpG associations (cg17417856 and cg06809326, respectively). Through Mendelian randomization analyses cg06809326 was putatively associated with white matter hyperintensity burden (P = 0.03) and expression of CCDC144NL-AS1 possibly mediated this association. Differentially methylated region analysis, joint epigenetic association analysis, and multi-omics colocalization analysis consistently identified a role of DNA methylation near SH3PXD2A, a locus previously identified in genome-wide association studies of white matter hyperintensities. Gene set enrichment analyses revealed functions of the identified DNA methylation loci in the blood-brain barrier and in the immune response. Integrative cross-omics analysis identified 19 key regulatory genes in two networks related to extracellular matrix organization, and lipid and lipoprotein metabolism. A drug repositioning analysis indicated antihyperlipidemic agents, more specifically peroxisome proliferator-activated receptor alpha, as possible target drugs for white matter hyperintensities. Our epigenome-wide association study and integrative cross-omics analyses implicate novel genes influencing white matter hyperintensity burden, which converged on pathways related to the immune response and to a compromised blood brain barrier possibly due to disrupted cell-cell and cell-extracellular matrix interactions. The results also suggest that antihyperlipidemic therapy may contribute to lowering risk for white matter hyperintensities possibly through protection against blood brain barrier disruption.

}, issn = {1460-2156}, doi = {10.1093/brain/awac290}, author = {Yang, Yunju and Knol, Maria J and Wang, Ruiqi and Mishra, Aniket and Liu, Dan and Luciano, Michelle and Teumer, Alexander and Armstrong, Nicola and Bis, Joshua C and Jhun, Min A and Li, Shuo and Adams, Hieab H H and Aziz, Nasir Ahmad and Bastin, Mark E and Bourgey, Mathieu and Brody, Jennifer A and Frenzel, Stefan and Gottesman, Rebecca F and Hosten, Norbert and Hou, Lifang and Kardia, Sharon L R and Lohner, Valerie and Marquis, Pascale and Maniega, Susana Mu{\~n}oz and Satizabal, Claudia L and Sorond, Farzaneh A and Vald{\'e}s Hern{\'a}ndez, Maria C and van Duijn, Cornelia M and Vernooij, Meike W and Wittfeld, Katharina and Yang, Qiong and Zhao, Wei and Boerwinkle, Eric and Levy, Daniel and Deary, Ian J and Jiang, Jiyang and Mather, Karen A and Mosley, Thomas H and Psaty, Bruce M and Sachdev, Perminder S and Smith, Jennifer A and Sotoodehnia, Nona and DeCarli, Charles S and Breteler, Monique M B and Arfan Ikram, M and Grabe, Hans J and Wardlaw, Joanna and Longstreth, W T and Launer, Lenore J and Seshadri, Sudha and Debette, Stephanie and Fornage, Myriam} } @article {9169, title = {Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning.}, journal = {Mol Psychiatry}, year = {2022}, month = {2022 Aug 16}, abstract = {

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

}, issn = {1476-5578}, doi = {10.1038/s41380-022-01710-8}, author = {Lahti, Jari and Tuominen, Samuli and Yang, Qiong and Pergola, Giulio and Ahmad, Shahzad and Amin, Najaf and Armstrong, Nicola J and Beiser, Alexa and Bey, Katharina and Bis, Joshua C and Boerwinkle, Eric and Bressler, Jan and Campbell, Archie and Campbell, Harry and Chen, Qiang and Corley, Janie and Cox, Simon R and Davies, Gail and De Jager, Philip L and Derks, Eske M and Faul, Jessica D and Fitzpatrick, Annette L and Fohner, Alison E and Ford, Ian and Fornage, Myriam and Gerring, Zachary and Grabe, Hans J and Grodstein, Francine and Gudnason, Vilmundur and Simonsick, Eleanor and Holliday, Elizabeth G and Joshi, Peter K and Kajantie, Eero and Kaprio, Jaakko and Karell, Pauliina and Kleineidam, Luca and Knol, Maria J and Kochan, Nicole A and Kwok, John B and Leber, Markus and Lam, Max and Lee, Teresa and Li, Shuo and Loukola, Anu and Luck, Tobias and Marioni, Riccardo E and Mather, Karen A and Medland, Sarah and Mirza, Saira S and Nalls, Mike A and Nho, Kwangsik and O{\textquoteright}Donnell, Adrienne and Oldmeadow, Christopher and Painter, Jodie and Pattie, Alison and Reppermund, Simone and Risacher, Shannon L and Rose, Richard J and Sadashivaiah, Vijay and Scholz, Markus and Satizabal, Claudia L and Schofield, Peter W and Schraut, Katharina E and Scott, Rodney J and Simino, Jeannette and Smith, Albert V and Smith, Jennifer A and Stott, David J and Surakka, Ida and Teumer, Alexander and Thalamuthu, Anbupalam and Trompet, Stella and Turner, Stephen T and van der Lee, Sven J and Villringer, Arno and V{\"o}lker, Uwe and Wilson, Robert S and Wittfeld, Katharina and Vuoksimaa, Eero and Xia, Rui and Yaffe, Kristine and Yu, Lei and Zare, Habil and Zhao, Wei and Ames, David and Attia, John and Bennett, David A and Brodaty, Henry and Chasman, Daniel I and Goldman, Aaron L and Hayward, Caroline and Ikram, M Arfan and Jukema, J Wouter and Kardia, Sharon L R and Lencz, Todd and Loeffler, Markus and Mattay, Venkata S and Palotie, Aarno and Psaty, Bruce M and Ramirez, Alfredo and Ridker, Paul M and Riedel-Heller, Steffi G and Sachdev, Perminder S and Saykin, Andrew J and Scherer, Martin and Schofield, Peter R and Sidney, Stephen and Starr, John M and Trollor, Julian and Ulrich, William and Wagner, Michael and Weir, David R and Wilson, James F and Wright, Margaret J and Weinberger, Daniel R and Debette, Stephanie and Eriksson, Johan G and Mosley, Thomas H and Launer, Lenore J and van Duijn, Cornelia M and Deary, Ian J and Seshadri, Sudha and R{\"a}ikk{\"o}nen, Katri} } @article {9099, title = {Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension.}, journal = {Hypertension}, year = {2022}, month = {2022 Jun 02}, pages = {101161HYPERTENSIONAHA12219324}, abstract = {

BACKGROUND: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

METHODS: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

RESULTS: Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (<5{\texttimes}10). Among them, a rare intergenic variant at novel locus, , was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; =4.99{\texttimes}10) but not stage-2 analysis (=0.11). Furthermore, a novel common variant at the known locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; =4.18{\texttimes}10) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; =7.28{\texttimes}10). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (<1{\texttimes}10 and <1{\texttimes}10, respectively).

DISCUSSION: We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.

}, issn = {1524-4563}, doi = {10.1161/HYPERTENSIONAHA.122.19324}, author = {Kelly, Tanika N and Sun, Xiao and He, Karen Y and Brown, Michael R and Taliun, Sarah A Gagliano and Hellwege, Jacklyn N and Irvin, Marguerite R and Mi, Xuenan and Brody, Jennifer A and Franceschini, Nora and Guo, Xiuqing and Hwang, Shih-Jen and de Vries, Paul S and Gao, Yan and Moscati, Arden and Nadkarni, Girish N and Yanek, Lisa R and Elfassy, Tali and Smith, Jennifer A and Chung, Ren-Hua and Beitelshees, Amber L and Patki, Amit and Aslibekyan, Stella and Blobner, Brandon M and Peralta, Juan M and Assimes, Themistocles L and Palmas, Walter R and Liu, Chunyu and Bress, Adam P and Huang, Zhijie and Becker, Lewis C and Hwa, Chii-Min and O{\textquoteright}Connell, Jeffrey R and Carlson, Jenna C and Warren, Helen R and Das, Sayantan and Giri, Ayush and Martin, Lisa W and Craig Johnson, W and Fox, Ervin R and Bottinger, Erwin P and Razavi, Alexander C and Vaidya, Dhananjay and Chuang, Lee-Ming and Chang, Yen-Pei C and Naseri, Take and Jain, Deepti and Kang, Hyun Min and Hung, Adriana M and Srinivasasainagendra, Vinodh and Snively, Beverly M and Gu, Dongfeng and Montasser, May E and Reupena, Muagututi{\textquoteright}a Sefuiva and Heavner, Benjamin D and LeFaive, Jonathon and Hixson, James E and Rice, Kenneth M and Wang, Fei Fei and Nielsen, Jonas B and Huang, Jianfeng and Khan, Alyna T and Zhou, Wei and Nierenberg, Jovia L and Laurie, Cathy C and Armstrong, Nicole D and Shi, Mengyao and Pan, Yang and Stilp, Adrienne M and Emery, Leslie and Wong, Quenna and Hawley, Nicola L and Minster, Ryan L and Curran, Joanne E and Munroe, Patricia B and Weeks, Daniel E and North, Kari E and Tracy, Russell P and Kenny, Eimear E and Shimbo, Daichi and Chakravarti, Aravinda and Rich, Stephen S and Reiner, Alex P and Blangero, John and Redline, Susan and Mitchell, Braxton D and Rao, Dabeeru C and Ida Chen, Yii-Der and Kardia, Sharon L R and Kaplan, Robert C and Mathias, Rasika A and He, Jiang and Psaty, Bruce M and Fornage, Myriam and Loos, Ruth J F and Correa, Adolfo and Boerwinkle, Eric and Rotter, Jerome I and Kooperberg, Charles and Edwards, Todd L and Abecasis, Goncalo R and Zhu, Xiaofeng and Levy, Daniel and Arnett, Donna K and Morrison, Alanna C} } @article {9094, title = {Integrative analysis of clinical and epigenetic biomarkers of mortality.}, journal = {Aging Cell}, volume = {21}, year = {2022}, month = {2022 Jun}, pages = {e13608}, abstract = {

DNA methylation (DNAm) has been reported to be associated with many diseases and with mortality. We hypothesized that the integration of DNAm with clinical risk factors would improve mortality prediction. We performed an epigenome-wide association study of whole blood DNAm in relation to mortality in 15 cohorts (n~=~15,013). During a mean follow-up of 10~years, there were 4314 deaths from all causes including 1235 cardiovascular disease (CVD) deaths and 868 cancer deaths. Ancestry-stratified meta-analysis of all-cause mortality identified 163 CpGs in European ancestry (EA) and 17 in African ancestry (AA) participants at p~<~1~{\texttimes}~10 , of which 41 (EA) and 16 (AA) were also associated with CVD death, and 15 (EA) and 9 (AA) with cancer death. We built DNAm-based prediction models for all-cause mortality that predicted mortality risk after adjusting for clinical risk factors. The mortality prediction model trained by integrating DNAm with clinical risk factors showed an improvement in prediction of cancer death with 5\% increase in the C-index in a replication cohort, compared with the model including clinical risk factors alone. Mendelian randomization identified 15 putatively causal CpGs in relation to longevity, CVD, or cancer risk. For example, cg06885782 (in KCNQ4) was positively associated with risk for prostate cancer (Beta~=~1.2, P ~=~4.1~{\texttimes}~10 ) and negatively associated with longevity (Beta~=~-1.9, P ~=~0.02). Pathway analysis revealed that genes associated with mortality-related CpGs are enriched for immune- and cancer-related pathways. We identified replicable DNAm signatures of mortality and demonstrated the potential utility of CpGs as informative biomarkers for prediction of mortality risk.

}, keywords = {Biomarkers, Cardiovascular Diseases, DNA Methylation, Epigenesis, Genetic, Epigenomics, Humans, Male, Neoplasms}, issn = {1474-9726}, doi = {10.1111/acel.13608}, author = {Huan, Tianxiao and Nguyen, Steve and Colicino, Elena and Ochoa-Rosales, Carolina and Hill, W David and Brody, Jennifer A and Soerensen, Mette and Zhang, Yan and Baldassari, Antoine and Elhadad, Mohamed Ahmed and Toshiko, Tanaka and Zheng, Yinan and Domingo-Relloso, Arce and Lee, Dong Heon and Ma, Jiantao and Yao, Chen and Liu, Chunyu and Hwang, Shih-Jen and Joehanes, Roby and Fornage, Myriam and Bressler, Jan and van Meurs, Joyce B J and Debrabant, Birgit and Mengel-From, Jonas and Hjelmborg, Jacob and Christensen, Kaare and Vokonas, Pantel and Schwartz, Joel and Gahrib, Sina A and Sotoodehnia, Nona and Sitlani, Colleen M and Kunze, Sonja and Gieger, Christian and Peters, Annette and Waldenberger, Melanie and Deary, Ian J and Ferrucci, Luigi and Qu, Yishu and Greenland, Philip and Lloyd-Jones, Donald M and Hou, Lifang and Bandinelli, Stefania and Voortman, Trudy and Hermann, Brenner and Baccarelli, Andrea and Whitsel, Eric and Pankow, James S and Levy, Daniel} } @article {9104, title = {Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.}, journal = {Nat Genet}, volume = {54}, year = {2022}, month = {2022 May}, pages = {560-572}, abstract = {

We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9\% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 {\texttimes} 10), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4\% of T2D associations to a single variant with >50\% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.

}, keywords = {Diabetes Mellitus, Type 2, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1546-1718}, doi = {10.1038/s41588-022-01058-3}, author = {Mahajan, Anubha and Spracklen, Cassandra N and Zhang, Weihua and Ng, Maggie C Y and Petty, Lauren E and Kitajima, Hidetoshi and Yu, Grace Z and R{\"u}eger, Sina and Speidel, Leo and Kim, Young Jin and Horikoshi, Momoko and Mercader, Josep M and Taliun, Daniel and Moon, Sanghoon and Kwak, Soo-Heon and Robertson, Neil R and Rayner, Nigel W and Loh, Marie and Kim, Bong-Jo and Chiou, Joshua and Miguel-Escalada, Irene and Della Briotta Parolo, Pietro and Lin, Kuang and Bragg, Fiona and Preuss, Michael H and Takeuchi, Fumihiko and Nano, Jana and Guo, Xiuqing and Lamri, Amel and Nakatochi, Masahiro and Scott, Robert A and Lee, Jung-Jin and Huerta-Chagoya, Alicia and Graff, Mariaelisa and Chai, Jin-Fang and Parra, Esteban J and Yao, Jie and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Steinthorsdottir, Valgerdur and Cook, James P and Kals, Mart and Grarup, Niels and Schmidt, Ellen M and Pan, Ian and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Ahmad, Meraj and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Lecoeur, C{\'e}cile and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Jensen, Richard A and Tajuddin, Salman and Kabagambe, Edmond K and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Flanagan, Jack and Abaitua, Fernando and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Akiyama, Masato and Anand, Sonia S and Bertoni, Alain and Bian, Zheng and Bork-Jensen, Jette and Brandslund, Ivan and Brody, Jennifer A and Brummett, Chad M and Buchanan, Thomas A and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Das, Swapan K and de Silva, H Janaka and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Fornage, Myriam and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Fuchsberger, Christian and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Goodarzi, Mark O and Gordon-Larsen, Penny and Gorkin, David and Gross, Myron and Guo, Yu and Hackinger, Sophie and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Marit E and J{\o}rgensen, Torben and Kamatani, Yoichiro and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kohara, Katsuhiko and Kriebel, Jennifer and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Ligthart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lyssenko, Valeriya and Mamakou, Vasiliki and Mani, K Radha and Meitinger, Thomas and Metspalu, Andres and Morris, Andrew D and Nadkarni, Girish N and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Nongmaithem, Suraj S and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Porneala, Bianca and Prasad, Gauri and Preissl, Sebastian and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Kathryn and Sabanayagam, Charumathi and Sander, Maike and Sandow, Kevin and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Schurmann, Claudia and Shahriar, Mohammad and Shi, Jinxiu and Shin, Dong Mun and Shriner, Daniel and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Stilp, Adrienne M and Strauch, Konstantin and Suzuki, Ken and Takahashi, Atsushi and Taylor, Kent D and Thorand, Barbara and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tomlinson, Brian and Torres, Jason M and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Vujkovic, Marijana and Wacher-Rodarte, Niels and Wheeler, Eleanor and Whitsel, Eric A and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamauchi, Toshimasa and Yengo, Loic and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zhang, Liang and Zheng, Wei and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Hanis, Craig L and Peyser, Patricia A and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Zeggini, Eleftheria and Yokota, Mitsuhiro and Rich, Stephen S and Kooperberg, Charles and Pankow, James S and Engert, James C and Chen, Yii-Der Ida and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Kardia, Sharon L R and Wu, Jer-Yuarn and Hayes, M Geoffrey and Ma, Ronald C W and Wong, Tien-Yin and Groop, Leif and Mook-Kanamori, Dennis O and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Bottinger, Erwin P and Dehghan, Abbas and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Palmer, Colin N A and Liu, Simin and Abecasis, Goncalo and Kooner, Jaspal S and Loos, Ruth J F and North, Kari E and Haiman, Christopher A and Florez, Jose C and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and M{\"a}gi, Reedik and Langenberg, Claudia and Wareham, Nicholas J and Maeda, Shiro and Kadowaki, Takashi and Lee, Juyoung and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Myers, Simon R and Ferrer, Jorge and Gaulton, Kyle J and Meigs, James B and Mohlke, Karen L and Gloyn, Anna L and Bowden, Donald W and Below, Jennifer E and Chambers, John C and Sim, Xueling and Boehnke, Michael and Rotter, Jerome I and McCarthy, Mark I and Morris, Andrew P} } @article {9100, title = {A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 Jun 21}, pages = {3549}, abstract = {

In a multi-stage analysis of 52,436 individuals aged 17-90 across diverse cohorts and biobanks, we train, test, and evaluate a polygenic risk score (PRS) for hypertension risk and progression. The PRS is trained using genome-wide association studies (GWAS) for systolic, diastolic blood pressure, and hypertension, respectively. For each trait, PRS is selected by optimizing the coefficient of variation (CV) across estimated effect sizes from multiple potential PRS using the same GWAS, after which the 3 trait-specific PRSs are combined via an unweighted sum called "PRSsum", forming the HTN-PRS. The HTN-PRS is associated with both prevalent and incident hypertension at 4-6 years of follow up. This association is further confirmed in age-stratified analysis. In an independent biobank of 40,201 individuals, the HTN-PRS is confirmed to be predictive of increased risk for coronary artery disease, ischemic stroke, type 2 diabetes, and chronic kidney disease.

}, keywords = {Adult, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Multifactorial Inheritance, Prevalence, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-022-31080-2}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Kelly, Tanika N and Elfassy, Tali and Wiggins, Kerri L and Bis, Joshua C and Guo, Xiuqing and Palmas, Walter and Taylor, Kent D and Lin, Henry J and Haessler, Jeffrey and Gao, Yan and Shimbo, Daichi and Smith, Jennifer A and Yu, Bing and Feofanova, Elena V and Smit, Roelof A J and Wang, Zhe and Hwang, Shih-Jen and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Lloyd-Jones, Donald M and Rich, Stephen S and Loos, Ruth J F and Redline, Susan and Correa, Adolfo and Kooperberg, Charles and Fornage, Myriam and Kaplan, Robert C and Psaty, Bruce M and Rotter, Jerome I and Arnett, Donna K and Morrison, Alanna C and Franceschini, Nora and Levy, Daniel and Sofer, Tamar} } @article {9035, title = {New insights into the genetic etiology of Alzheimer{\textquoteright}s disease and related dementias.}, journal = {Nat Genet}, volume = {54}, year = {2022}, month = {2022 Apr}, pages = {412-436}, abstract = {

Characterization of the genetic landscape of Alzheimer{\textquoteright}s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/{\textquoteright}proxy{\textquoteright} AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.

}, keywords = {Alzheimer Disease, Cognitive Dysfunction, Genome-Wide Association Study, Humans, tau Proteins}, issn = {1546-1718}, doi = {10.1038/s41588-022-01024-z}, author = {Bellenguez, C{\'e}line and K{\"u}{\c c}{\"u}kali, Fahri and Jansen, Iris E and Kleineidam, Luca and Moreno-Grau, Sonia and Amin, Najaf and Naj, Adam C and Campos-Martin, Rafael and Grenier-Boley, Benjamin and Andrade, Victor and Holmans, Peter A and Boland, Anne and Damotte, Vincent and van der Lee, Sven J and Costa, Marcos R and Kuulasmaa, Teemu and Yang, Qiong and de Rojas, Itziar and Bis, Joshua C and Yaqub, Amber and Prokic, Ivana and Chapuis, Julien and Ahmad, Shahzad and Giedraitis, Vilmantas and Aarsland, Dag and Garcia-Gonzalez, Pablo and Abdelnour, Carla and Alarc{\'o}n-Mart{\'\i}n, Emilio and Alcolea, Daniel and Alegret, Montserrat and Alvarez, Ignacio and Alvarez, Victoria and Armstrong, Nicola J and Tsolaki, Anthoula and Antunez, Carmen and Appollonio, Ildebrando and Arcaro, Marina and Archetti, Silvana and Pastor, Alfonso Arias and Arosio, Beatrice and Athanasiu, Lavinia and Bailly, Henri and Banaj, Nerisa and Baquero, Miquel and Barral, Sandra and Beiser, Alexa and Pastor, Ana Bel{\'e}n and Below, Jennifer E and Benchek, Penelope and Benussi, Luisa and Berr, Claudine and Besse, C{\'e}line and Bessi, Valentina and Binetti, Giuliano and Bizarro, Alessandra and Blesa, Rafael and Boada, Merce and Boerwinkle, Eric and Borroni, Barbara and Boschi, Silvia and Boss{\`u}, Paola and Br{\r a}then, Geir and Bressler, Jan and Bresner, Catherine and Brodaty, Henry and Brookes, Keeley J and Brusco, Luis Ignacio and Buiza-Rueda, Dolores and B{\^u}rger, Katharina and Burholt, Vanessa and Bush, William S and Calero, Miguel and Cantwell, Laura B and Chene, Genevi{\`e}ve and Chung, Jaeyoon and Cuccaro, Michael L and Carracedo, Angel and Cecchetti, Roberta and Cervera-Carles, Laura and Charbonnier, Camille and Chen, Hung-Hsin and Chillotti, Caterina and Ciccone, Simona and Claassen, Jurgen A H R and Clark, Christopher and Conti, Elisa and Corma-G{\'o}mez, Ana{\"\i}s and Costantini, Emanuele and Custodero, Carlo and Daian, Delphine and Dalmasso, Maria Carolina and Daniele, Antonio and Dardiotis, Efthimios and Dartigues, Jean-Fran{\c c}ois and de Deyn, Peter Paul and de Paiva Lopes, Katia and de Witte, Lot D and Debette, Stephanie and Deckert, J{\"u}rgen and Del Ser, Teodoro and Denning, Nicola and DeStefano, Anita and Dichgans, Martin and Diehl-Schmid, Janine and Diez-Fairen, Monica and Rossi, Paolo Dionigi and Djurovic, Srdjan and Duron, Emmanuelle and D{\"u}zel, Emrah and Dufouil, Carole and Eiriksdottir, Gudny and Engelborghs, Sebastiaan and Escott-Price, Valentina and Espinosa, Ana and Ewers, Michael and Faber, Kelley M and Fabrizio, Tagliavini and Nielsen, Sune Fallgaard and Fardo, David W and Farotti, Lucia and Fenoglio, Chiara and Fern{\'a}ndez-Fuertes, Marta and Ferrari, Raffaele and Ferreira, Catarina B and Ferri, Evelyn and Fin, Bertrand and Fischer, Peter and Fladby, Tormod and Flie{\ss}bach, Klaus and Fongang, Bernard and Fornage, Myriam and Fortea, Juan and Foroud, Tatiana M and Fostinelli, Silvia and Fox, Nick C and Franco-Mac{\'\i}as, Emlio and Bullido, Mar{\'\i}a J and Frank-Garc{\'\i}a, Ana and Froelich, Lutz and Fulton-Howard, Brian and Galimberti, Daniela and Garc{\'\i}a-Alberca, Jose Maria and Garcia-Gonzalez, Pablo and Garcia-Madrona, Sebastian and Garcia-Ribas, Guillermo and Ghidoni, Roberta and Giegling, Ina and Giorgio, Giaccone and Goate, Alison M and Goldhardt, Oliver and Gomez-Fonseca, Duber and Gonz{\'a}lez-Perez, Antonio and Graff, Caroline and Grande, Giulia and Green, Emma and Grimmer, Timo and Gr{\"u}nblatt, Edna and Grunin, Michelle and Gudnason, Vilmundur and Guetta-Baranes, Tamar and Haapasalo, Annakaisa and Hadjigeorgiou, Georgios and Haines, Jonathan L and Hamilton-Nelson, Kara L and Hampel, Harald and Hanon, Olivier and Hardy, John and Hartmann, Annette M and Hausner, Lucrezia and Harwood, Janet and Heilmann-Heimbach, Stefanie and Helisalmi, Seppo and Heneka, Michael T and Hernandez, Isabel and Herrmann, Martin J and Hoffmann, Per and Holmes, Clive and Holstege, Henne and Vilas, Raquel Huerto and Hulsman, Marc and Humphrey, Jack and Biessels, Geert Jan and Jian, Xueqiu and Johansson, Charlotte and Jun, Gyungah R and Kastumata, Yuriko and Kauwe, John and Kehoe, Patrick G and Kilander, Lena and St{\r a}hlbom, Anne Kinhult and Kivipelto, Miia and Koivisto, Anne and Kornhuber, Johannes and Kosmidis, Mary H and Kukull, Walter A and Kuksa, Pavel P and Kunkle, Brian W and Kuzma, Amanda B and Lage, Carmen and Laukka, Erika J and Launer, Lenore and Lauria, Alessandra and Lee, Chien-Yueh and Lehtisalo, Jenni and Lerch, Ondrej and Lleo, Alberto and Longstreth, William and Lopez, Oscar and de Munain, Adolfo Lopez and Love, Seth and L{\"o}wemark, Malin and Luckcuck, Lauren and Lunetta, Kathryn L and Ma, Yiyi and Mac{\'\i}as, Juan and MacLeod, Catherine A and Maier, Wolfgang and Mangialasche, Francesca and Spallazzi, Marco and Marqui{\'e}, Marta and Marshall, Rachel and Martin, Eden R and Montes, Angel Mart{\'\i}n and Rodr{\'\i}guez, Carmen Mart{\'\i}nez and Masullo, Carlo and Mayeux, Richard and Mead, Simon and Mecocci, Patrizia and Medina, Miguel and Meggy, Alun and Mehrabian, Shima and Mendoza, Silvia and Men{\'e}ndez-Gonz{\'a}lez, Manuel and Mir, Pablo and Moebus, Susanne and Mol, Merel and Molina-Porcel, Laura and Montrreal, Laura and Morelli, Laura and Moreno, Fermin and Morgan, Kevin and Mosley, Thomas and N{\"o}then, Markus M and Muchnik, Carolina and Mukherjee, Shubhabrata and Nacmias, Benedetta and Ngandu, Tiia and Nicolas, Ga{\"e}l and Nordestgaard, B{\o}rge G and Olaso, Robert and Orellana, Adelina and Orsini, Michela and Ortega, Gemma and Padovani, Alessandro and Paolo, Caffarra and Papenberg, Goran and Parnetti, Lucilla and Pasquier, Florence and Pastor, Pau and Peloso, Gina and P{\'e}rez-Cord{\'o}n, Alba and P{\'e}rez-Tur, Jordi and Pericard, Pierre and Peters, Oliver and Pijnenburg, Yolande A L and Pineda, Juan A and Pi{\~n}ol-Ripoll, Gerard and Pisanu, Claudia and Polak, Thomas and Popp, Julius and Posthuma, Danielle and Priller, Josef and Puerta, Raquel and Quenez, Olivier and Quintela, In{\'e}s and Thomassen, Jesper Qvist and R{\'a}bano, Alberto and Rainero, Innocenzo and Rajabli, Farid and Ramakers, Inez and Real, Luis M and Reinders, Marcel J T and Reitz, Christiane and Reyes-Dumeyer, Dolly and Ridge, Perry and Riedel-Heller, Steffi and Riederer, Peter and Roberto, Natalia and Rodriguez-Rodriguez, Eloy and Rongve, Arvid and Allende, Irene Rosas and Rosende-Roca, Mait{\'e}e and Royo, Jose Luis and Rubino, Elisa and Rujescu, Dan and S{\'a}ez, Mar{\'\i}a Eugenia and Sakka, Paraskevi and Saltvedt, Ingvild and Sanabria, {\'A}ngela and S{\'a}nchez-Arjona, Mar{\'\i}a Bernal and Sanchez-Garcia, Florentino and Juan, Pascual S{\'a}nchez and S{\'a}nchez-Valle, Raquel and Sando, Sigrid B and Sarnowski, Chloe and Satizabal, Claudia L and Scamosci, Michela and Scarmeas, Nikolaos and Scarpini, Elio and Scheltens, Philip and Scherbaum, Norbert and Scherer, Martin and Schmid, Matthias and Schneider, Anja and Schott, Jonathan M and Selb{\ae}k, Geir and Seripa, Davide and Serrano, Manuel and Sha, Jin and Shadrin, Alexey A and Skrobot, Olivia and Slifer, Susan and Snijders, Gijsje J L and Soininen, Hilkka and Solfrizzi, Vincenzo and Solomon, Alina and Song, Yeunjoo and Sorbi, Sandro and Sotolongo-Grau, Oscar and Spalletta, Gianfranco and Spottke, Annika and Squassina, Alessio and Stordal, Eystein and Tartan, Juan Pablo and Tarraga, Lluis and Tes{\'\i}, Niccolo and Thalamuthu, Anbupalam and Thomas, Tegos and Tosto, Giuseppe and Traykov, Latchezar and Tremolizzo, Lucio and Tybj{\ae}rg-Hansen, Anne and Uitterlinden, Andre and Ullgren, Abbe and Ulstein, Ingun and Valero, Sergi and Valladares, Otto and Broeckhoven, Christine Van and Vance, Jeffery and Vardarajan, Badri N and van der Lugt, Aad and Dongen, Jasper Van and van Rooij, Jeroen and van Swieten, John and Vandenberghe, Rik and Verhey, Frans and Vidal, Jean-S{\'e}bastien and Vogelgsang, Jonathan and Vyhnalek, Martin and Wagner, Michael and Wallon, David and Wang, Li-San and Wang, Ruiqi and Weinhold, Leonie and Wiltfang, Jens and Windle, Gill and Woods, Bob and Yannakoulia, Mary and Zare, Habil and Zhao, Yi and Zhang, Xiaoling and Zhu, Congcong and Zulaica, Miren and Farrer, Lindsay A and Psaty, Bruce M and Ghanbari, Mohsen and Raj, Towfique and Sachdev, Perminder and Mather, Karen and Jessen, Frank and Ikram, M Arfan and de Mendon{\c c}a, Alexandre and Hort, Jakub and Tsolaki, Magda and Pericak-Vance, Margaret A and Amouyel, Philippe and Williams, Julie and Frikke-Schmidt, Ruth and Clarimon, Jordi and Deleuze, Jean-Francois and Rossi, Giacomina and Seshadri, Sudha and Andreassen, Ole A and Ingelsson, Martin and Hiltunen, Mikko and Sleegers, Kristel and Schellenberg, Gerard D and van Duijn, Cornelia M and Sims, Rebecca and van der Flier, Wiesje M and Ruiz, Agustin and Ramirez, Alfredo and Lambert, Jean-Charles} } @article {9161, title = {Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations.}, journal = {Commun Biol}, volume = {5}, year = {2022}, month = {2022 08 22}, pages = {856}, abstract = {

Polygenic risk scores (PRS) are commonly used to quantify the inherited susceptibility for a trait, yet they fail to account for non-linear and interaction effects between single nucleotide polymorphisms (SNPs). We address this via a machine learning approach, validated in nine complex phenotypes in a multi-ancestry population. We use an ensemble method of SNP selection followed by gradient boosted trees (XGBoost) to allow for non-linearities and interaction effects. We compare our results to the standard, linear PRS model developed using PRSice, LDpred2, and lassosum2. Combining a PRS as a feature in an XGBoost model results in a relative increase in the percentage variance explained compared to the standard linear PRS model by 22\% for height, 27\% for HDL cholesterol, 43\% for body mass index, 50\% for sleep duration, 58\% for systolic blood pressure, 64\% for total cholesterol, 66\% for triglycerides, 77\% for LDL cholesterol, and 100\% for diastolic blood pressure. Multi-ancestry trained models perform similarly to specific racial/ethnic group trained models and are consistently superior to the standard linear PRS models. This work demonstrates an effective method to account for non-linearities and interaction effects in genetics-based prediction models.

}, keywords = {Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Machine Learning, Multifactorial Inheritance, Polymorphism, Single Nucleotide}, issn = {2399-3642}, doi = {10.1038/s42003-022-03812-z}, author = {Elgart, Michael and Lyons, Genevieve and Romero-Brufau, Santiago and Kurniansyah, Nuzulul and Brody, Jennifer A and Guo, Xiuqing and Lin, Henry J and Raffield, Laura and Gao, Yan and Chen, Han and de Vries, Paul and Lloyd-Jones, Donald M and Lange, Leslie A and Peloso, Gina M and Fornage, Myriam and Rotter, Jerome I and Rich, Stephen S and Morrison, Alanna C and Psaty, Bruce M and Levy, Daniel and Redline, Susan and Sofer, Tamar} } @article {9037, title = {Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program.}, journal = {Am J Hum Genet}, year = {2022}, month = {2022 Mar 31}, abstract = {

While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the biological mechanisms of disease are shared across ancestry groups, we introduce a PrediXcan-derived polygenic transcriptome risk score (PTRS) to improve cross-ethnic portability of risk prediction. We constructed the PTRS using summary statistics from application of PrediXcan on large-scale GWASs of lung function (forced expiratory volume in 1~s [FEV] and its ratio to forced vital capacity [FEV/FVC]) in the UK Biobank. We examined prediction performance and cross-ethnic portability of PTRS through smoking-stratified analyses both on 29,381 multi-ethnic participants from TOPMed population/family-based cohorts and on 11,771 multi-ethnic participants from TOPMed COPD-enriched studies. Analyses were carried out for two dichotomous COPD traits (moderate-to-severe and severe COPD) and two quantitative lung function traits (FEV and FEV/FVC). While the proposed PTRS showed weaker associations with disease than PRS for European ancestry, the PTRS showed stronger association with COPD than PRS for African Americans (e.g., odds ratio [OR]~= 1.24 [95\% confidence interval [CI]: 1.08-1.43] for PTRS versus 1.10 [0.96-1.26] for PRS among heavy smokers with >= 40 pack-years of smoking) for moderate-to-severe COPD. Cross-ethnic portability of the PTRS was significantly higher than the PRS (paired t test p~<~2.2~{\texttimes}~10 with portability gains ranging from 5\% to 28\%) for both dichotomous COPD traits and across all smoking strata. Our study demonstrates the value of PTRS for improved cross-ethnic portability compared to PRS in predicting COPD risk.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2022.03.007}, author = {Hu, Xiaowei and Qiao, Dandi and Kim, Wonji and Moll, Matthew and Balte, Pallavi P and Lange, Leslie A and Bartz, Traci M and Kumar, Rajesh and Li, Xingnan and Yu, Bing and Cade, Brian E and Laurie, Cecelia A and Sofer, Tamar and Ruczinski, Ingo and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Gabriel, Stacy and Gupta, Namrata and Dugan-Perez, Shannon and Cupples, L Adrienne and Loehr, Laura R and Jain, Deepti and Rotter, Jerome I and Wilson, James G and Psaty, Bruce M and Fornage, Myriam and Morrison, Alanna C and Vasan, Ramachandran S and Washko, George and Rich, Stephen S and O{\textquoteright}Connor, George T and Bleecker, Eugene and Kaplan, Robert C and Kalhan, Ravi and Redline, Susan and Gharib, Sina A and Meyers, Deborah and Ortega, Victor and Dupuis, Jos{\'e}e and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Silverman, Edwin K and Barr, R Graham and Thornton, Timothy A and Wheeler, Heather E and Cho, Michael H and Im, Hae Kyung and Manichaikul, Ani} } @article {8975, title = {Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.}, journal = {Am J Hum Genet}, volume = {109}, year = {2022}, month = {2022 01 06}, pages = {81-96}, abstract = {

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1\%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.

}, keywords = {Alleles, Blood Glucose, Case-Control Studies, Computational Biology, Databases, Genetic, Diabetes Mellitus, Type 2, Exome, Genetic Predisposition to Disease, Genetic Variation, Genetics, Population, Genome-Wide Association Study, Humans, Lipid Metabolism, Lipids, Liver, Molecular Sequence Annotation, Multifactorial Inheritance, Open Reading Frames, Phenotype, Polymorphism, Single Nucleotide}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.11.021}, author = {Hindy, George and Dornbos, Peter and Chaffin, Mark D and Liu, Dajiang J and Wang, Minxian and Selvaraj, Margaret Sunitha and Zhang, David and Park, Joseph and Aguilar-Salinas, Carlos A and Antonacci-Fulton, Lucinda and Ardissino, Diego and Arnett, Donna K and Aslibekyan, Stella and Atzmon, Gil and Ballantyne, Christie M and Barajas-Olmos, Francisco and Barzilai, Nir and Becker, Lewis C and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bonnycastle, Lori L and Bottinger, Erwin and Bowden, Donald W and Bown, Matthew J and Brody, Jennifer A and Broome, Jai G and Burtt, Noel P and Cade, Brian E and Centeno-Cruz, Federico and Chan, Edmund and Chang, Yi-Cheng and Chen, Yii-der I and Cheng, Ching-Yu and Choi, Won Jung and Chowdhury, Rajiv and Contreras-Cubas, Cecilia and C{\'o}rdova, Emilio J and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and Danesh, John and de Vries, Paul S and DeFronzo, Ralph A and Doddapaneni, Harsha and Duggirala, Ravindranath and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Florez, Jose C and Fornage, Myriam and Freedman, Barry I and Fuster, Valentin and Garay-Sevilla, Ma Eugenia and Garc{\'\i}a-Ortiz, Humberto and Germer, Soren and Gibbs, Richard A and Gieger, Christian and Glaser, Benjamin and Gonzalez, Clicerio and Gonzalez-Villalpando, Maria Elena and Graff, Mariaelisa and Graham, Sarah E and Grarup, Niels and Groop, Leif C and Guo, Xiuqing and Gupta, Namrata and Han, Sohee and Hanis, Craig L and Hansen, Torben and He, Jiang and Heard-Costa, Nancy L and Hung, Yi-Jen and Hwang, Mi Yeong and Irvin, Marguerite R and Islas-Andrade, Sergio and Jarvik, Gail P and Kang, Hyun Min and Kardia, Sharon L R and Kelly, Tanika and Kenny, Eimear E and Khan, Alyna T and Kim, Bong-Jo and Kim, Ryan W and Kim, Young Jin and Koistinen, Heikki A and Kooperberg, Charles and Kuusisto, Johanna and Kwak, Soo Heon and Laakso, Markku and Lange, Leslie A and Lee, Jiwon and Lee, Juyoung and Lee, Seonwook and Lehman, Donna M and Lemaitre, Rozenn N and Linneberg, Allan and Liu, Jianjun and Loos, Ruth J F and Lubitz, Steven A and Lyssenko, Valeriya and Ma, Ronald C W and Martin, Lisa Warsinger and Mart{\'\i}nez-Hern{\'a}ndez, Ang{\'e}lica and Mathias, Rasika A and McGarvey, Stephen T and McPherson, Ruth and Meigs, James B and Meitinger, Thomas and Melander, Olle and Mendoza-Caamal, Elvia and Metcalf, Ginger A and Mi, Xuenan and Mohlke, Karen L and Montasser, May E and Moon, Jee-Young and Moreno-Macias, Hortensia and Morrison, Alanna C and Muzny, Donna M and Nelson, Sarah C and Nilsson, Peter M and O{\textquoteright}Connell, Jeffrey R and Orho-Melander, Marju and Orozco, Lorena and Palmer, Colin N A and Palmer, Nicholette D and Park, Cheol Joo and Park, Kyong Soo and Pedersen, Oluf and Peralta, Juan M and Peyser, Patricia A and Post, Wendy S and Preuss, Michael and Psaty, Bruce M and Qi, Qibin and Rao, D C and Redline, Susan and Reiner, Alexander P and Revilla-Monsalve, Cristina and Rich, Stephen S and Samani, Nilesh and Schunkert, Heribert and Schurmann, Claudia and Seo, Daekwan and Seo, Jeong-Sun and Sim, Xueling and Sladek, Rob and Small, Kerrin S and So, Wing Yee and Stilp, Adrienne M and Tai, E Shyong and Tam, Claudia H T and Taylor, Kent D and Teo, Yik Ying and Thameem, Farook and Tomlinson, Brian and Tsai, Michael Y and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and van Dam, Rob M and Vasan, Ramachandran S and Viaud Martinez, Karine A and Wang, Fei Fei and Wang, Xuzhi and Watkins, Hugh and Weeks, Daniel E and Wilson, James G and Witte, Daniel R and Wong, Tien-Yin and Yanek, Lisa R and Kathiresan, Sekar and Rader, Daniel J and Rotter, Jerome I and Boehnke, Michael and McCarthy, Mark I and Willer, Cristen J and Natarajan, Pradeep and Flannick, Jason A and Khera, Amit V and Peloso, Gina M} } @article {9168, title = {Rare genetic variants explain missing heritability in smoking.}, journal = {Nat Hum Behav}, year = {2022}, month = {2022 Aug 04}, abstract = {

Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this {\textquoteright}missing heritability{\textquoteright}. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74\% of it attributable to rare variants with minor allele frequencies between 0.01\% and 1\%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60\% to 100\% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.

}, issn = {2397-3374}, doi = {10.1038/s41562-022-01408-5}, author = {Jang, Seon-Kyeong and Evans, Luke and Fialkowski, Allison and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Becker, Diane M and Bis, Joshua C and Blangero, John and Bleecker, Eugene R and Boorgula, Meher Preethi and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Jenkins, Brenda W Campbell and Carson, April P and Chavan, Sameer and Cupples, L Adrienne and Custer, Brian and Damrauer, Scott M and David, Sean P and de Andrade, Mariza and Dinardo, Carla L and Fingerlin, Tasha E and Fornage, Myriam and Freedman, Barry I and Garrett, Melanie E and Gharib, Sina A and Glahn, David C and Haessler, Jeffrey and Heckbert, Susan R and Hokanson, John E and Hou, Lifang and Hwang, Shih-Jen and Hyman, Matthew C and Judy, Renae and Justice, Anne E and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Shannon and Kim, Wonji and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald M and Loos, Ruth J F and Manichaikul, Ani W and Gladwin, Mark T and Martin, Lisa Warsinger and Nouraie, Mehdi and Melander, Olle and Meyers, Deborah A and Montgomery, Courtney G and North, Kari E and Oelsner, Elizabeth C and Palmer, Nicholette D and Payton, Marinelle and Peljto, Anna L and Peyser, Patricia A and Preuss, Michael and Psaty, Bruce M and Qiao, Dandi and Rader, Daniel J and Rafaels, Nicholas and Redline, Susan and Reed, Robert M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Schwartz, David A and Shadyab, Aladdin H and Silverman, Edwin K and Smith, Nicholas L and Smith, J Gustav and Smith, Albert V and Smith, Jennifer A and Tang, Weihong and Taylor, Kent D and Telen, Marilyn J and Vasan, Ramachandran S and Gordeuk, Victor R and Wang, Zhe and Wiggins, Kerri L and Yanek, Lisa R and Yang, Ivana V and Young, Kendra A and Young, Kristin L and Zhang, Yingze and Liu, Dajiang J and Keller, Matthew C and Vrieze, Scott} } @article {9172, title = {Stroke genetics informs drug discovery and risk prediction across ancestries.}, journal = {Nature}, year = {2022}, month = {2022 Sep 30}, abstract = {

Previous genome-wide association studies (GWASs) of stroke~-~the second leading cause of death worldwide~-~were conducted predominantly in populations of European ancestry. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33\% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30\% non-European) and 1,013,843 control individuals, 87\% of the primary stroke risk loci and 60\% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.

}, issn = {1476-4687}, doi = {10.1038/s41586-022-05165-3}, author = {Mishra, Aniket and Malik, Rainer and Hachiya, Tsuyoshi and J{\"u}rgenson, Tuuli and Namba, Shinichi and Posner, Daniel C and Kamanu, Frederick K and Koido, Masaru and Le Grand, Quentin and Shi, Mingyang and He, Yunye and Georgakis, Marios K and Caro, Ilana and Krebs, Kristi and Liaw, Yi-Ching and Vaura, Felix C and Lin, Kuang and Winsvold, Bendik Slagsvold and Srinivasasainagendra, Vinodh and Parodi, Livia and Bae, Hee-Joon and Chauhan, Ganesh and Chong, Michael R and Tomppo, Liisa and Akinyemi, Rufus and Roshchupkin, Gennady V and Habib, Naomi and Jee, Yon Ho and Thomassen, Jesper Qvist and Abedi, Vida and C{\'a}rcel-M{\'a}rquez, Jara and Nygaard, Marianne and Leonard, Hampton L and Yang, Chaojie and Yonova-Doing, Ekaterina and Knol, Maria J and Lewis, Adam J and Judy, Renae L and Ago, Tetsuro and Amouyel, Philippe and Armstrong, Nicole D and Bakker, Mark K and Bartz, Traci M and Bennett, David A and Bis, Joshua C and Bordes, Constance and B{\o}rte, Sigrid and Cain, Anael and Ridker, Paul M and Cho, Kelly and Chen, Zhengming and Cruchaga, Carlos and Cole, John W and De Jager, Phil L and de Cid, Rafael and Endres, Matthias and Ferreira, Leslie E and Geerlings, Mirjam I and Gasca, Natalie C and Gudnason, Vilmundur and Hata, Jun and He, Jing and Heath, Alicia K and Ho, Yuk-Lam and Havulinna, Aki S and Hopewell, Jemma C and Hyacinth, Hyacinth I and Inouye, Michael and Jacob, Mina A and Jeon, Christina E and Jern, Christina and Kamouchi, Masahiro and Keene, Keith L and Kitazono, Takanari and Kittner, Steven J and Konuma, Takahiro and Kumar, Amit and Lacaze, Paul and Launer, Lenore J and Lee, Keon-Joo and Lepik, Kaido and Li, Jiang and Li, Liming and Manichaikul, Ani and Markus, Hugh S and Marston, Nicholas A and Meitinger, Thomas and Mitchell, Braxton D and Montellano, Felipe A and Morisaki, Takayuki and Mosley, Thomas H and Nalls, Mike A and Nordestgaard, B{\o}rge G and O{\textquoteright}Donnell, Martin J and Okada, Yukinori and Onland-Moret, N Charlotte and Ovbiagele, Bruce and Peters, Annette and Psaty, Bruce M and Rich, Stephen S and Rosand, Jonathan and Sabatine, Marc S and Sacco, Ralph L and Saleheen, Danish and Sandset, Else Charlotte and Salomaa, Veikko and Sargurupremraj, Muralidharan and Sasaki, Makoto and Satizabal, Claudia L and Schmidt, Carsten O and Shimizu, Atsushi and Smith, Nicholas L and Sloane, Kelly L and Sutoh, Yoichi and Sun, Yan V and Tanno, Kozo and Tiedt, Steffen and Tatlisumak, Turgut and Torres-Aguila, Nuria P and Tiwari, Hemant K and Tr{\'e}gou{\"e}t, David-Alexandre and Trompet, Stella and Tuladhar, Anil Man and Tybj{\ae}rg-Hansen, Anne and van Vugt, Marion and Vibo, Riina and Verma, Shefali S and Wiggins, Kerri L and Wennberg, Patrik and Woo, Daniel and Wilson, Peter W F and Xu, Huichun and Yang, Qiong and Yoon, Kyungheon and Millwood, Iona Y and Gieger, Christian and Ninomiya, Toshiharu and Grabe, Hans J and Jukema, J Wouter and Rissanen, Ina L and Strbian, Daniel and Kim, Young Jin and Chen, Pei-Hsin and Mayerhofer, Ernst and Howson, Joanna M M and Irvin, Marguerite R and Adams, Hieab and Wassertheil-Smoller, Sylvia and Christensen, Kaare and Ikram, Mohammad A and Rundek, Tatjana and Worrall, Bradford B and Lathrop, G Mark and Riaz, Moeen and Simonsick, Eleanor M and K{\~o}rv, Janika and Fran{\c c}a, Paulo H C and Zand, Ramin and Prasad, Kameshwar and Frikke-Schmidt, Ruth and de Leeuw, Frank-Erik and Liman, Thomas and Haeusler, Karl Georg and Ruigrok, Ynte M and Heuschmann, Peter Ulrich and Longstreth, W T and Jung, Keum Ji and Bastarache, Lisa and Par{\'e}, Guillaume and Damrauer, Scott M and Chasman, Daniel I and Rotter, Jerome I and Anderson, Christopher D and Zwart, John-Anker and Niiranen, Teemu J and Fornage, Myriam and Liaw, Yung-Po and Seshadri, Sudha and Fernandez-Cadenas, Israel and Walters, Robin G and Ruff, Christian T and Owolabi, Mayowa O and Huffman, Jennifer E and Milani, Lili and Kamatani, Yoichiro and Dichgans, Martin and Debette, Stephanie} } @article {9109, title = {The Value of Rare Genetic Variation in the Prediction of Common Obesity in European Ancestry Populations.}, journal = {Front Endocrinol (Lausanne)}, volume = {13}, year = {2022}, month = {2022}, pages = {863893}, abstract = {

Polygenic risk scores (PRSs) aggregate the effects of genetic variants across the genome and are used to predict risk of complex diseases, such as obesity. Current PRSs only include common variants (minor allele frequency (MAF) >=1\%), whereas the contribution of rare variants in PRSs to predict disease remains unknown. Here, we examine whether augmenting the standard common variant PRS (PRS) with a rare variant PRS (PRS) improves prediction of obesity. We used genome-wide genotyped and imputed data on 451,145 European-ancestry participants of the UK Biobank, as well as whole exome sequencing (WES) data on 184,385 participants. We performed single variant analyses (for both common and rare variants) and gene-based analyses (for rare variants) for association with BMI (kg/m), obesity (BMI >= 30 kg/m), and extreme obesity (BMI >= 40 kg/m). We built PRSs and PRSs using a range of methods (Clumping+Thresholding [C+T], PRS-CS, lassosum, gene-burden test). We selected the best-performing PRSs and assessed their performance in 36,757 European-ancestry unrelated participants with whole genome sequencing (WGS) data from the Trans-Omics for Precision Medicine (TOPMed) program. The best-performing PRS explained 10.1\% of variation in BMI, and 18.3\% and 22.5\% of the susceptibility to obesity and extreme obesity, respectively, whereas the best-performing PRS explained 1.49\%, and 2.97\% and 3.68\%, respectively. The PRS was associated with an increased risk of obesity and extreme obesity (OR = 1.37 per SD, = 1.7x10; OR = 1.55 per SD, = 3.8x10), which was attenuated, after adjusting for PRS (OR = 1.08 per SD, = 9.8x10; OR= 1.09 per SD, = 0.02). When PRS and PRS are combined, the increase in explained variance attributed to PRS was small (incremental Nagelkerke R = 0.24\% for obesity and 0.51\% for extreme obesity). Consistently, combining PRS to PRS provided little improvement to the prediction of obesity (PRS AUC = 0.591; PRS AUC = 0.708; PRS AUC = 0.710). In summary, while rare variants show convincing association with BMI, obesity and extreme obesity, the PRS provides limited improvement over PRS in the prediction of obesity risk, based on these large populations.

}, keywords = {Gene Frequency, Genetic Variation, Genome-Wide Association Study, Humans, Obesity, Whole Genome Sequencing}, issn = {1664-2392}, doi = {10.3389/fendo.2022.863893}, author = {Wang, Zhe and Choi, Shing Wan and Chami, Nathalie and Boerwinkle, Eric and Fornage, Myriam and Redline, Susan and Bis, Joshua C and Brody, Jennifer A and Psaty, Bruce M and Kim, Wonji and McDonald, Merry-Lynn N and Regan, Elizabeth A and Silverman, Edwin K and Liu, Ching-Ti and Vasan, Ramachandran S and Kalyani, Rita R and Mathias, Rasika A and Yanek, Lisa R and Arnett, Donna K and Justice, Anne E and North, Kari E and Kaplan, Robert and Heckbert, Susan R and de Andrade, Mariza and Guo, Xiuqing and Lange, Leslie A and Rich, Stephen S and Rotter, Jerome I and Ellinor, Patrick T and Lubitz, Steven A and Blangero, John and Shoemaker, M Benjamin and Darbar, Dawood and Gladwin, Mark T and Albert, Christine M and Chasman, Daniel I and Jackson, Rebecca D and Kooperberg, Charles and Reiner, Alexander P and O{\textquoteright}Reilly, Paul F and Loos, Ruth J F} } @article {9261, title = {Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 Dec 08}, pages = {7592}, abstract = {

Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits and observed 21 independent signals (12 common and 9 rare) reaching genome-wide significance. The majority of these associations (N = 18) replicated in independent datasets. In genome-editing experiments, we provide evidence that a deletion associated with lower monocyte counts leads to disruption of an S1PR3 monocyte enhancer and decreased S1PR3 expression.

}, keywords = {Blood Cells, Genome-Wide Association Study, Humans, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-022-35354-7}, author = {Wheeler, Marsha M and Stilp, Adrienne M and Rao, Shuquan and Halldorsson, Bjarni V and Beyter, Doruk and Wen, Jia and Mihkaylova, Anna V and McHugh, Caitlin P and Lane, John and Jiang, Min-Zhi and Raffield, Laura M and Jun, Goo and Sedlazeck, Fritz J and Metcalf, Ginger and Yao, Yao and Bis, Joshua B and Chami, Nathalie and de Vries, Paul S and Desai, Pinkal and Floyd, James S and Gao, Yan and Kammers, Kai and Kim, Wonji and Moon, Jee-Young and Ratan, Aakrosh and Yanek, Lisa R and Almasy, Laura and Becker, Lewis C and Blangero, John and Cho, Michael H and Curran, Joanne E and Fornage, Myriam and Kaplan, Robert C and Lewis, Joshua P and Loos, Ruth J F and Mitchell, Braxton D and Morrison, Alanna C and Preuss, Michael and Psaty, Bruce M and Rich, Stephen S and Rotter, Jerome I and Tang, Hua and Tracy, Russell P and Boerwinkle, Eric and Abecasis, Goncalo R and Blackwell, Thomas W and Smith, Albert V and Johnson, Andrew D and Mathias, Rasika A and Nickerson, Deborah A and Conomos, Matthew P and Li, Yun and {\TH}orsteinsdottir, Unnur and Magn{\'u}sson, Magn{\'u}s K and Stefansson, Kari and Pankratz, Nathan D and Bauer, Daniel E and Auer, Paul L and Reiner, Alex P} } @article {9258, title = {Whole-Exome Sequencing Study Identifies Four Novel Gene Loci Associated with Diabetic Kidney Disease.}, journal = {Hum Mol Genet}, year = {2022}, month = {2022 Nov 29}, abstract = {

Diabetic kidney disease (DKD) is recognized as an important public health challenge. However, its genomic mechanisms are poorly understood. To identify rare variants for DKD, we conducted a whole-exome sequencing (WES) study leveraging large cohorts well-phenotyped for chronic kidney disease (CKD) and diabetes. Our two-stage whole-exome sequencing study included 4372 European and African ancestry participants from the Chronic Renal Insufficiency Cohort (CRIC) and Atherosclerosis Risk in Communities (ARIC) studies (stage-1) and 11 487 multi-ancestry Trans-Omics for Precision Medicine (TOPMed) participants (stage-2). Generalized linear mixed models, which accounted for genetic relatedness and adjusted for age, sex, and ancestry, were used to test associations between single variants and DKD. Gene-based aggregate rare variant analyses were conducted using an optimized sequence kernel association test (SKAT-O) implemented within our mixed model framework. We identified four novel exome-wide significant DKD-related loci through initiating diabetes. In single variant analyses, participants carrying a rare, in-frame insertion in the DIS3L2 gene (rs141560952) exhibited a 193-fold increased odds (95\% confidence interval: 33.6, 1105) of DKD compared with non-carriers (P = 3.59 {\texttimes} 10-9). Likewise, each copy of a low-frequency KRT6B splice-site variant (rs425827) conferred a 5.31-fold higher odds (95\% confidence interval: 3.06, 9.21) of DKD (P = 2.72 {\texttimes} 10-9). Aggregate gene-based analyses further identified ERAP2 (P = 4.03 {\texttimes} 10-8) and NPEPPS (P = 1.51 {\texttimes} 10-7), which are both expressed in the kidney and implicated in renin-angiotensin-aldosterone system modulated immune response. In the largest WES study of DKD, we identified novel rare variant loci attaining exome-wide significance. These findings provide new insights into the molecular mechanisms underlying DKD.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddac290}, author = {Pan, Yang and Sun, Xiao and Mi, Xuenan and Huang, Zhijie and Hsu, Yenchih and Hixson, James E and Munzy, Donna and Metcalf, Ginger and Franceschini, Nora and Tin, Adrienne and K{\"o}ttgen, Anna and Francis, Michael and Brody, Jennifer A and Kestenbaum, Bryan and Sitlani, Colleen M and Mychaleckyj, Josyf C and Kramer, Holly and Lange, Leslie A and Guo, Xiuqing and Hwang, Shih-Jen and Irvin, Marguerite R and Smith, Jennifer A and Yanek, Lisa R and Vaidya, Dhananjay and Chen, Yii-Der Ida and Fornage, Myriam and Lloyd-Jones, Donald M and Hou, Lifang and Mathias, Rasika A and Mitchell, Braxton D and Peyser, Patricia A and Kardia, Sharon L R and Arnett, Donna K and Correa, Adolfo and Raffield, Laura M and Vasan, Ramachandran S and Cupple, L Adrienne and Levy, Daniel and Kaplan, Robert C and North, Kari E and Rotter, Jerome I and Kooperberg, Charles and Reiner, Alexander P and Psaty, Bruce M and Tracy, Russell P and Gibbs, Richard A and Morrison, Alanna C and Feldman, Harold and Boerwinkle, Eric and He, Jiang and Kelly, Tanika N} } @article {9387, title = {Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis.}, journal = {Nature}, volume = {616}, year = {2023}, month = {2023 Apr}, pages = {755-763}, abstract = {

Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis. These lesions are precursors for blood cancers, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but~this effect was not seen in~clones with~driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental~knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.

}, keywords = {Alleles, Animals, Clonal Hematopoiesis, Genome-Wide Association Study, Hematopoiesis, Hematopoietic Stem Cells, Humans, Mice, Mutation, Promoter Regions, Genetic}, issn = {1476-4687}, doi = {10.1038/s41586-023-05806-1}, author = {Weinstock, Joshua S and Gopakumar, Jayakrishnan and Burugula, Bala Bharathi and Uddin, Md Mesbah and Jahn, Nikolaus and Belk, Julia A and Bouzid, Hind and Daniel, Bence and Miao, Zhuang and Ly, Nghi and Mack, Taralynn M and Luna, Sofia E and Prothro, Katherine P and Mitchell, Shaneice R and Laurie, Cecelia A and Broome, Jai G and Taylor, Kent D and Guo, Xiuqing and Sinner, Moritz F and von Falkenhausen, Aenne S and K{\"a}{\"a}b, Stefan and Shuldiner, Alan R and O{\textquoteright}Connell, Jeffrey R and Lewis, Joshua P and Boerwinkle, Eric and Barnes, Kathleen C and Chami, Nathalie and Kenny, Eimear E and Loos, Ruth J F and Fornage, Myriam and Hou, Lifang and Lloyd-Jones, Donald M and Redline, Susan and Cade, Brian E and Psaty, Bruce M and Bis, Joshua C and Brody, Jennifer A and Silverman, Edwin K and Yun, Jeong H and Qiao, Dandi and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Cho, Michael H and DeMeo, Dawn L and Vasan, Ramachandran S and Yanek, Lisa R and Becker, Lewis C and Kardia, Sharon L R and Peyser, Patricia A and He, Jiang and Rienstra, Michiel and van der Harst, Pim and Kaplan, Robert and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Arnett, Donna K and Irvin, Marguerite R and Tiwari, Hemant and Cutler, Michael J and Knight, Stacey and Muhlestein, J Brent and Correa, Adolfo and Raffield, Laura M and Gao, Yan and de Andrade, Mariza and Rotter, Jerome I and Rich, Stephen S and Tracy, Russell P and Konkle, Barbara A and Johnsen, Jill M and Wheeler, Marsha M and Smith, J Gustav and Melander, Olle and Nilsson, Peter M and Custer, Brian S and Duggirala, Ravindranath and Curran, Joanne E and Blangero, John and McGarvey, Stephen and Williams, L Keoki and Xiao, Shujie and Yang, Mao and Gu, C Charles and Chen, Yii-Der Ida and Lee, Wen-Jane and Marcus, Gregory M and Kane, John P and Pullinger, Clive R and Shoemaker, M Benjamin and Darbar, Dawood and Roden, Dan M and Albert, Christine and Kooperberg, Charles and Zhou, Ying and Manson, JoAnn E and Desai, Pinkal and Johnson, Andrew D and Mathias, Rasika A and Blackwell, Thomas W and Abecasis, Goncalo R and Smith, Albert V and Kang, Hyun M and Satpathy, Ansuman T and Natarajan, Pradeep and Kitzman, Jacob O and Whitsel, Eric A and Reiner, Alexander P and Bick, Alexander G and Jaiswal, Siddhartha} } @article {9502, title = {Association Between Whole Blood-Derived Mitochondrial DNA Copy Number, Low-Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk.}, journal = {J Am Heart Assoc}, year = {2023}, month = {2023 Oct 07}, pages = {e029090}, abstract = {

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross-sectional and prospective association analyses of blood-derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole-genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). <0.01 was used for significance. We validated most of the previously reported associations between mtDNA CN and cardiovascular disease outcomes. For example, 1-SD unit lower level of mtDNA CN was associated with 1.08 (95\% CI, 1.04-1.12; <0.001) times the hazard for developing incident CHD, adjusting for covariates. Mendelian randomization analyses showed no causal effect from a lower level of mtDNA CN to a higher CHD risk (β=0.091; =0.11) or in the reverse direction (β=-0.012; =0.076). Additional bidirectional Mendelian randomization analyses revealed that low-density lipoprotein cholesterol had a causal effect on mtDNA CN (β=-0.084; <0.001), but the reverse direction was not significant (=0.059). No causal associations were observed between mtDNA CN and obesity, diabetes, and hypertension, in either direction. Multivariable Mendelian randomization analyses showed no causal effect of CHD on mtDNA CN, controlling for low-density lipoprotein cholesterol level (=0.52), whereas there was a strong direct causal effect of higher low-density lipoprotein cholesterol on lower mtDNA CN, adjusting for CHD status (β=-0.092; <0.001). Conclusions Our findings indicate that high low-density lipoprotein cholesterol may underlie the complex relationships between mtDNA CN and vascular atherosclerosis.

}, issn = {2047-9980}, doi = {10.1161/JAHA.122.029090}, author = {Liu, Xue and Sun, Xianbang and Zhang, Yuankai and Jiang, Wenqing and Lai, Meng and Wiggins, Kerri L and Raffield, Laura M and Bielak, Lawrence F and Zhao, Wei and Pitsillides, Achilleas and Haessler, Jeffrey and Zheng, Yinan and Blackwell, Thomas W and Yao, Jie and Guo, Xiuqing and Qian, Yong and Thyagarajan, Bharat and Pankratz, Nathan and Rich, Stephen S and Taylor, Kent D and Peyser, Patricia A and Heckbert, Susan R and Seshadri, Sudha and Boerwinkle, Eric and Grove, Megan L and Larson, Nicholas B and Smith, Jennifer A and Vasan, Ramachandran S and Fitzpatrick, Annette L and Fornage, Myriam and Ding, Jun and Carson, April P and Abecasis, Goncalo and Dupuis, Jos{\'e}e and Reiner, Alexander and Kooperberg, Charles and Hou, Lifang and Psaty, Bruce M and Wilson, James G and Levy, Daniel and Rotter, Jerome I and Bis, Joshua C and Satizabal, Claudia L and Arking, Dan E and Liu, Chunyu} } @article {9323, title = {Association of Mitochondrial DNA Copy Number With Brain MRI Markers and Cognitive Function: A Meta-analysis of Community-Based Cohorts.}, journal = {Neurology}, year = {2023}, month = {2023 Mar 16}, abstract = {

BACKGROUND AND OBJECTIVES: Previous studies suggest lower mitochondrial DNA (mtDNA) copy number (CN) is associated with neurodegenerative diseases. However, whether mtDNA CN in whole blood is related to endophenotypes of Alzheimer{\textquoteright}s disease (AD) and AD related dementia (AD/ADRD) needs further investigation. We assessed the association of mtDNA CN with cognitive function and MRI measures in community-based samples of middle-aged to older adults.

METHODS: We included dementia-free participants from nine diverse community-based cohorts with whole-genome sequencing in the Trans-Omics for Precision Medicine (TOPMed) program. Circulating mtDNA CN was estimated as twice the ratio of the average coverage of mtDNA to nuclear DNA. Brain MRI markers included total brain, hippocampal, and white matter hyperintensity volumes. General cognitive function was derived from distinct cognitive domains. We performed cohort-specific association analyses of mtDNA CN with AD/ADRD endophenotypes assessed within {\textpm}5 years (i.e., cross-sectional analyses) or 5 to 20 years after blood draw (i.e., prospective analyses) adjusting for potential confounders. We further explored associations stratified by sex and age (<60 vs. >=60 years). Fixed-effects or sample size-weighted meta-analyses were performed to combine results. Finally, we performed Mendelian randomization (MR) analyses to assess causality.

RESULTS: We included up to 19,152 participants (mean age 59 years, 57\% women). Higher mtDNA CN was cross-sectionally associated with better general cognitive function (Beta=0.04; 95\% CI 0.02, 0.06) independent of age, sex, batch effects, race/ethnicity, time between blood draw and cognitive evaluation, cohort-specific variables, and education. Additional adjustment for blood cell counts or cardiometabolic traits led to slightly attenuated results. We observed similar significant associations with cognition in prospective analyses, although of reduced magnitude. We found no significant associations between mtDNA CN and brain MRI measures in meta-analyses. MR analyses did not reveal a causal relation between mtDNA CN in blood and cognition.

DISCUSSION: Higher mtDNA CN in blood is associated with better current and future general cognitive function in large and diverse communities across the US. Although MR analyses did not support a causal role, additional research is needed to assess causality. Circulating mtDNA CN could serve nevertheless as a biomarker of current and future cognitive function in the community.

}, issn = {1526-632X}, doi = {10.1212/WNL.0000000000207157}, author = {Zhang, Yuankai and Liu, Xue and Wiggins, Kerri L and Kurniansyah, Nuzulul and Guo, Xiuqing and Rodrigue, Amanda L and Zhao, Wei and Yanek, Lisa R and Ratliff, Scott M and Pitsillides, Achilleas and Aguirre Pati{\~n}o, Juan Sebastian and Sofer, Tamar and Arking, Dan E and Austin, Thomas R and Beiser, Alexa S and Blangero, John and Boerwinkle, Eric and Bressler, Jan and Curran, Joanne E and Hou, Lifang and Hughes, Timothy M and Kardia, Sharon L and Launer, Lenore and Levy, Daniel and Mosley, Tom H and Nasrallah, Ilya M and Rich, Stephen S and Rotter, Jerome I and Seshadri, Sudha and Tarraf, Wassim and Gonz{\'a}lez, Kevin A and Ramachandran, Vasan and Yaffe, Kristine and Nyquist, Paul A and Psaty, Bruce M and DeCarli, Charles S and Smith, Jennifer A and Glahn, David C and Gonz{\'a}lez, Hector M and Bis, Joshua C and Fornage, Myriam and Heckbert, Susan R and Fitzpatrick, Annette L and Liu, Chunyu and Satizabal, Claudia L} } @article {9285, title = {Association of Rare Protein-Truncating DNA Variants in APOB or PCSK9 With Low-density Lipoprotein Cholesterol Level and Risk of Coronary Heart Disease.}, journal = {JAMA Cardiol}, year = {2023}, month = {2023 Feb 01}, abstract = {

IMPORTANCE: Protein-truncating variants (PTVs) in apolipoprotein B (APOB) and proprotein convertase subtilisin/kexin type 9 (PCSK9) are associated with significantly lower low-density lipoprotein (LDL) cholesterol concentrations. The association of these PTVs with coronary heart disease (CHD) warrants further characterization in large, multiracial prospective cohort studies.

OBJECTIVE: To evaluate the association of PTVs in APOB and PCSK9 with LDL cholesterol concentrations and CHD risk.

DESIGN, SETTING, AND PARTICIPANTS: This studied included participants from 5 National Heart, Lung, and Blood Institute (NHLBI) studies and the UK Biobank. NHLBI study participants aged 5 to 84 years were recruited between 1971 and 2002 across the US and underwent whole-genome sequencing. UK Biobank participants aged 40 to 69 years were recruited between 2006 and 2010 in the UK and underwent whole-exome sequencing. Data were analyzed from June 2021 to October 2022.

EXPOSURES: PTVs in APOB and PCSK9.

MAIN OUTCOMES AND MEASURES: Estimated untreated LDL cholesterol levels and CHD.

RESULTS: Among 19 073 NHLBI participants (10 598 [55.6\%] female; mean [SD] age, 52 [17] years), 139 (0.7\%) carried an APOB or PCSK9 PTV, which was associated with 49 mg/dL (95\% CI, 43-56) lower estimated untreated LDL cholesterol level. Over a median (IQR) follow-up of 21.5 (13.9-29.4) years, incident CHD was observed in 12 of 139 carriers (8.6\%) vs 3029 of 18 934 noncarriers (16.0\%), corresponding to an adjusted hazard ratio of 0.51 (95\% CI, 0.28-0.89; P = .02). Among 190 464 UK Biobank participants (104 831 [55.0\%] female; mean [SD] age, 57 [8] years), 662 (0.4\%) carried a PTV, which was associated with 45 mg/dL (95\% CI, 42-47) lower estimated untreated LDL cholesterol level. Estimated CHD risk by age 75 years was 3.7\% (95\% CI, 2.0-5.3) in carriers vs 7.0\% (95\% CI, 6.9-7.2) in noncarriers, corresponding to an adjusted hazard ratio of 0.51 (95\% CI, 0.32-0.81; P = .004).

CONCLUSIONS AND RELEVANCE: Among 209 537 individuals in this study, 0.4\% carried an APOB or PCSK9 PTV that was associated with less exposure to LDL cholesterol and a 49\% lower risk of CHD.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2022.5271}, author = {Dron, Jacqueline S and Patel, Aniruddh P and Zhang, Yiyi and Jurgens, Sean J and Maamari, Dimitri J and Wang, Minxian and Boerwinkle, Eric and Morrison, Alanna C and de Vries, Paul S and Fornage, Myriam and Hou, Lifang and Lloyd-Jones, Donald M and Psaty, Bruce M and Tracy, Russell P and Bis, Joshua C and Vasan, Ramachandran S and Levy, Daniel and Heard-Costa, Nancy and Rich, Stephen S and Guo, Xiuqing and Taylor, Kent D and Gibbs, Richard A and Rotter, Jerome I and Willer, Cristen J and Oelsner, Elizabeth C and Moran, Andrew E and Peloso, Gina M and Natarajan, Pradeep and Khera, Amit V} } @article {9388, title = {Association of Severe Hypercholesterolemia and Familial Hypercholesterolemia Genotype With Risk of Coronary Heart Disease.}, journal = {Circulation}, volume = {147}, year = {2023}, month = {2023 May 16}, pages = {1556-1559}, keywords = {Coronary Disease, Genotype, Humans, Hypercholesterolemia, Hyperlipoproteinemia Type II}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.123.064168}, author = {Zhang, Yiyi and Dron, Jacqueline S and Bellows, Brandon K and Khera, Amit V and Liu, Junxiu and Balte, Pallavi P and Oelsner, Elizabeth C and Amr, Sami Samir and Lebo, Matthew S and Nagy, Anna and Peloso, Gina M and Natarajan, Pradeep and Rotter, Jerome I and Willer, Cristen and Boerwinkle, Eric and Ballantyne, Christie M and Lutsey, Pamela L and Fornage, Myriam and Lloyd-Jones, Donald M and Hou, Lifang and Psaty, Bruce M and Bis, Joshua C and Floyd, James S and Vasan, Ramachandran S and Heard-Costa, Nancy L and Carson, April P and Hall, Michael E and Rich, Stephen S and Guo, Xiuqing and Kazi, Dhruv S and de Ferranti, Sarah D and Moran, Andrew E} } @article {9411, title = {Clonal hematopoiesis is associated with protection from Alzheimer{\textquoteright}s disease.}, journal = {Nat Med}, volume = {29}, year = {2023}, month = {2023 Jul}, pages = {1662-1670}, abstract = {

Clonal hematopoiesis of indeterminate potential (CHIP) is a premalignant expansion of mutated hematopoietic stem cells. As CHIP-associated mutations are known to alter the development and function of myeloid cells, we hypothesized that CHIP may also be associated with the risk of Alzheimer{\textquoteright}s disease (AD), a disease in which brain-resident myeloid cells are thought to have a major role. To perform association tests between CHIP and AD dementia, we analyzed blood DNA sequencing data from 1,362 individuals with AD and 4,368 individuals without AD. Individuals with CHIP had a lower risk of AD dementia (meta-analysis odds ratio (OR) = 0.64, P = 3.8 {\texttimes} 10), and Mendelian randomization analyses supported a potential causal association. We observed that the same mutations found in blood were also detected in microglia-enriched fraction of the brain in seven of eight CHIP carriers. Single-nucleus chromatin accessibility profiling of brain-derived nuclei in six CHIP carriers revealed that the mutated cells comprised a large proportion of the microglial pool in the samples examined. While additional studies are required to validate the mechanistic findings, these results suggest that CHIP may have a role in attenuating the risk of AD.

}, issn = {1546-170X}, doi = {10.1038/s41591-023-02397-2}, author = {Bouzid, Hind and Belk, Julia A and Jan, Max and Qi, Yanyan and Sarnowski, Chloe and Wirth, Sara and Ma, Lisa and Chrostek, Matthew R and Ahmad, Herra and Nachun, Daniel and Yao, Winnie and Beiser, Alexa and Bick, Alexander G and Bis, Joshua C and Fornage, Myriam and Longstreth, William T and Lopez, Oscar L and Natarajan, Pradeep and Psaty, Bruce M and Satizabal, Claudia L and Weinstock, Joshua and Larson, Eric B and Crane, Paul K and Keene, C Dirk and Seshadri, Sudha and Satpathy, Ansuman T and Montine, Thomas J and Jaiswal, Siddhartha} } @article {9506, title = {Clonal Hematopoiesis of Indeterminate Potential (CHIP) and Incident Type 2 Diabetes Risk.}, journal = {Diabetes Care}, year = {2023}, month = {2023 Sep 27}, abstract = {

OBJECTIVE: Clonal hematopoiesis of indeterminate potential (CHIP) is an aging-related accumulation of somatic mutations in hematopoietic stem cells, leading to clonal expansion. CHIP presence has been implicated in atherosclerotic coronary heart disease (CHD) and all-cause mortality, but its association with incident type 2 diabetes (T2D) is unknown. We hypothesized that CHIP is associated with elevated risk of T2D.

RESEARCH DESIGN AND METHODS: CHIP was derived from whole-genome sequencing of blood DNA in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) prospective cohorts. We performed analysis for 17,637 participants from six cohorts, without prior T2D, cardiovascular disease, or cancer. We evaluated baseline CHIP versus no CHIP prevalence with incident T2D, including associations with DNMT3A, TET2, ASXL1, JAK2, and TP53 variants. We estimated multivariable-adjusted hazard ratios (HRs) and 95\% confidence intervals (CIs) with adjustment for age, sex, BMI, smoking, alcohol, education, self-reported race/ethnicity, and combined cohorts{\textquoteright} estimates via fixed-effects meta-analysis.

RESULTS: Mean (SD) age was 63.4 (11.5) years, 76\% were female, and CHIP prevalence was 6.0\% (n = 1,055) at baseline. T2D was diagnosed in n = 2,467 over mean follow-up of 9.8 years. Participants with CHIP had 23\% (CI = 1.04, 1.45) higher risk of T2D than those with no CHIP. Specifically, higher risk was for TET2 (HR 1.48; CI = 1.05, 2.08) and ASXL1 (HR 1.76; CI = 1.03, 2.99) mutations; DNMT3A was nonsignificant (HR 1.15; CI = 0.93, 1.43). Statistical power was limited for JAK2 and TP53 analyses.

CONCLUSIONS: CHIP was associated with higher incidence of T2D. CHIP mutations located on genes implicated in CHD and mortality were also related to T2D, suggesting shared aging-related pathology.

}, issn = {1935-5548}, doi = {10.2337/dc23-0805}, author = {Tobias, Deirdre K and Manning, Alisa K and Wessel, Jennifer and Raghavan, Sridharan and Westerman, Kenneth E and Bick, Alexander G and DiCorpo, Daniel and Whitsel, Eric A and Collins, Jason and Correa, Adolfo and Cupples, L Adrienne and Dupuis, Jos{\'e}e and Goodarzi, Mark O and Guo, Xiuqing and Howard, Barbara and Lange, Leslie A and Liu, Simin and Raffield, Laura M and Reiner, Alex P and Rich, Stephen S and Taylor, Kent D and Tinker, Lesley and Wilson, James G and Wu, Peitao and Carson, April P and Vasan, Ramachandran S and Fornage, Myriam and Psaty, Bruce M and Kooperberg, Charles and Rotter, Jerome I and Meigs, James and Manson, JoAnn E} } @article {9588, title = {Determinants of mosaic chromosomal alteration fitness.}, journal = {medRxiv}, year = {2023}, month = {2023 Oct 21}, abstract = {

Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well-understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate for 6,381 individuals in the NHLBI TOPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our estimates of mCA fitness were correlated (R = 0.49) with an alternative approach that estimated fitness of mCAs in the UK Biobank using a theoretical probability distribution. Individuals with lymphoid-associated mCAs had a significantly higher white blood cell count and faster clonal expansion rate. In a cross-sectional analysis, genome-wide association study of estimates of mCA expansion rate identified , , and locus variants as modulators of mCA clonal expansion rate.

}, doi = {10.1101/2023.10.20.23297280}, author = {Pershad, Yash and Mack, Taralynn and Poisner, Hannah and Jakubek, Yasminka A and Stilp, Adrienne M and Mitchell, Braxton D and Lewis, Joshua P and Boerwinkle, Eric and Loos, Ruth J and Chami, Nathalie and Wang, Zhe and Barnes, Kathleen and Pankratz, Nathan and Fornage, Myriam and Redline, Susan and Psaty, Bruce M and Bis, Joshua C and Shojaie, Ali and Silverman, Edwin K and Cho, Michael H and Yun, Jeong and DeMeo, Dawn and Levy, Daniel and Johnson, Andrew and Mathias, Rasika and Taub, Margaret and Arnett, Donna and North, Kari and Raffield, Laura M and Carson, April and Doyle, Margaret F and Rich, Stephen S and Rotter, Jerome I and Guo, Xiuqing and Cox, Nancy and Roden, Dan M and Franceschini, Nora and Desai, Pinkal and Reiner, Alex and Auer, Paul L and Scheet, Paul and Jaiswal, Siddhartha and Weinstock, Joshua S and Bick, Alexander G} } @article {9379, title = {Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups.}, journal = {Nat Commun}, volume = {14}, year = {2023}, month = {2023 Jun 02}, pages = {3202}, abstract = {

We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals.

}, keywords = {Blood Pressure, Ethnicity, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Population Health, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-023-38990-9}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Khan, Alyna T and Wang, Jiongming and Feofanova, Elena and Bis, Joshua C and Wiggins, Kerri L and Huffman, Jennifer E and Kelly, Tanika and Elfassy, Tali and Guo, Xiuqing and Palmas, Walter and Lin, Henry J and Hwang, Shih-Jen and Gao, Yan and Young, Kendra and Kinney, Gregory L and Smith, Jennifer A and Yu, Bing and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Zhu, Xiaofeng and Chen, Yii-Der Ida and Lee, I-Te and Gu, C Charles and Lloyd-Jones, Donald M and Z{\"o}llner, Sebastian and Fornage, Myriam and Kooperberg, Charles and Correa, Adolfo and Psaty, Bruce M and Arnett, Donna K and Isasi, Carmen R and Rich, Stephen S and Kaplan, Robert C and Redline, Susan and Mitchell, Braxton D and Franceschini, Nora and Levy, Daniel and Rotter, Jerome I and Morrison, Alanna C and Sofer, Tamar} } @article {9535, title = {Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci.}, journal = {Front Genet}, volume = {14}, year = {2023}, month = {2023}, pages = {1235337}, abstract = {

Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant ( < 5 {\texttimes} 10) and suggestive ( < 1 {\texttimes} 10) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (), brain (), and liver () biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.

}, issn = {1664-8021}, doi = {10.3389/fgene.2023.1235337}, author = {de Las Fuentes, Lisa and Schwander, Karen L and Brown, Michael R and Bentley, Amy R and Winkler, Thomas W and Sung, Yun Ju and Munroe, Patricia B and Miller, Clint L and Aschard, Hugo and Aslibekyan, Stella and Bartz, Traci M and Bielak, Lawrence F and Chai, Jin Fang and Cheng, Ching-Yu and Dorajoo, Rajkumar and Feitosa, Mary F and Guo, Xiuqing and Hartwig, Fernando P and Horimoto, Andrea and Kolcic, Ivana and Lim, Elise and Liu, Yongmei and Manning, Alisa K and Marten, Jonathan and Musani, Solomon K and Noordam, Raymond and Padmanabhan, Sandosh and Rankinen, Tuomo and Richard, Melissa A and Ridker, Paul M and Smith, Albert V and Vojinovic, Dina and Zonderman, Alan B and Alver, Maris and Boissel, Mathilde and Christensen, Kaare and Freedman, Barry I and Gao, Chuan and Giulianini, Franco and Harris, Sarah E and He, Meian and Hsu, Fang-Chi and Kuhnel, Brigitte and Laguzzi, Federica and Li, Xiaoyin and Lyytik{\"a}inen, Leo-Pekka and Nolte, Ilja M and Poveda, Alaitz and Rauramaa, Rainer and Riaz, Muhammad and Robino, Antonietta and Sofer, Tamar and Takeuchi, Fumihiko and Tayo, Bamidele O and van der Most, Peter J and Verweij, Niek and Ware, Erin B and Weiss, Stefan and Wen, Wanqing and Yanek, Lisa R and Zhan, Yiqiang and Amin, Najaf and Arking, Dan E and Ballantyne, Christie and Boerwinkle, Eric and Brody, Jennifer A and Broeckel, Ulrich and Campbell, Archie and Canouil, Micka{\"e}l and Chai, Xiaoran and Chen, Yii-Der Ida and Chen, Xu and Chitrala, Kumaraswamy Naidu and Concas, Maria Pina and de Faire, Ulf and de Mutsert, Ren{\'e}e and de Silva, H Janaka and de Vries, Paul S and Do, Ahn and Faul, Jessica D and Fisher, Virginia and Floyd, James S and Forrester, Terrence and Friedlander, Yechiel and Girotto, Giorgia and Gu, C Charles and Hallmans, G{\"o}ran and Heikkinen, Sami and Heng, Chew-Kiat and Homuth, Georg and Hunt, Steven and Ikram, M Arfan and Jacobs, David R and Kavousi, Maryam and Khor, Chiea Chuen and Kilpel{\"a}inen, Tuomas O and Koh, Woon-Puay and Komulainen, Pirjo and Langefeld, Carl D and Liang, Jingjing and Liu, Kiang and Liu, Jianjun and Lohman, Kurt and M{\"a}gi, Reedik and Manichaikul, Ani W and McKenzie, Colin A and Meitinger, Thomas and Milaneschi, Yuri and Nauck, Matthias and Nelson, Christopher P and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pereira, Alexandre C and Perls, Thomas and Peters, Annette and Polasek, Ozren and Raitakari, Olli T and Rice, Kenneth and Rice, Treva K and Rich, Stephen S and Sabanayagam, Charumathi and Schreiner, Pamela J and Shu, Xiao-Ou and Sidney, Stephen and Sims, Mario and Smith, Jennifer A and Starr, John M and Strauch, Konstantin and Tai, E Shyong and Taylor, Kent D and Tsai, Michael Y and Uitterlinden, Andr{\'e} G and van Heemst, Diana and Waldenberger, Melanie and Wang, Ya-Xing and Wei, Wen-Bin and Wilson, Gregory and Xuan, Deng and Yao, Jie and Yu, Caizheng and Yuan, Jian-Min and Zhao, Wei and Becker, Diane M and Bonnefond, Am{\'e}lie and Bowden, Donald W and Cooper, Richard S and Deary, Ian J and Divers, Jasmin and Esko, T{\~o}nu and Franks, Paul W and Froguel, Philippe and Gieger, Christian and Jonas, Jost B and Kato, Norihiro and Lakka, Timo A and Leander, Karin and Lehtim{\"a}ki, Terho and Magnusson, Patrik K E and North, Kari E and Ntalla, Ioanna and Penninx, Brenda and Samani, Nilesh J and Snieder, Harold and Spedicati, Beatrice and van der Harst, Pim and V{\"o}lzke, Henry and Wagenknecht, Lynne E and Weir, David R and Wojczynski, Mary K and Wu, Tangchun and Zheng, Wei and Zhu, Xiaofeng and Bouchard, Claude and Chasman, Daniel I and Evans, Michele K and Fox, Ervin R and Gudnason, Vilmundur and Hayward, Caroline and Horta, Bernardo L and Kardia, Sharon L R and Krieger, Jose Eduardo and Mook-Kanamori, Dennis O and Peyser, Patricia A and Province, Michael M and Psaty, Bruce M and Rudan, Igor and Sim, Xueling and Smith, Blair H and van Dam, Rob M and van Duijn, Cornelia M and Wong, Tien Yin and Arnett, Donna K and Rao, Dabeeru C and Gauderman, James and Liu, Ching-Ti and Morrison, Alanna C and Rotter, Jerome I and Fornage, Myriam} } @article {9286, title = {Genetic control of mRNA splicing as a potential mechanism for incomplete penetrance of rare coding variants.}, journal = {bioRxiv}, year = {2023}, month = {2023 Jan 31}, abstract = {

Exonic variants present some of the strongest links between genotype and phenotype. However, these variants can have significant inter-individual pathogenicity differences, known as variable penetrance. In this study, we propose a model where genetically controlled mRNA splicing modulates the pathogenicity of exonic variants. By first cataloging exonic inclusion from RNA-seq data in GTEx v8, we find that pathogenic alleles are depleted on highly included exons. Using a large-scale phased WGS data from the TOPMed consortium, we observe that this effect may be driven by common splice-regulatory genetic variants, and that natural selection acts on haplotype configurations that reduce the transcript inclusion of putatively pathogenic variants, especially when limiting to haploinsufficient genes. Finally, we test if this effect may be relevant for autism risk using families from the Simons Simplex Collection, but find that splicing of pathogenic alleles has a penetrance reducing effect here as well. Overall, our results indicate that common splice-regulatory variants may play a role in reducing the damaging effects of rare exonic variants.

}, doi = {10.1101/2023.01.31.526505}, author = {Einson, Jonah and Glinos, Dafni and Boerwinkle, Eric and Castaldi, Peter and Darbar, Dawood and de Andrade, Mariza and Ellinor, Patrick and Fornage, Myriam and Gabriel, Stacey and Germer, Soren and Gibbs, Richard and Hersh, Craig P and Johnsen, Jill and Kaplan, Robert and Konkle, Barbara A and Kooperberg, Charles and Nassir, Rami and Loos, Ruth J F and Meyers, Deborah A and Mitchell, Braxton D and Psaty, Bruce and Vasan, Ramachandran S and Rich, Stephen S and Rienstra, Michael and Rotter, Jerome I and Saferali, Aabida and Shoemaker, M Benjamin and Silverman, Edwin and Smith, Albert Vernon and Mohammadi, Pejman and Castel, Stephane E and Iossifov, Ivan and Lappalainen, Tuuli} } @article {9419, title = {The genetic determinants of recurrent somatic mutations in 43,693 blood genomes.}, journal = {Sci Adv}, volume = {9}, year = {2023}, month = {2023 Apr 28}, pages = {eabm4945}, abstract = {

Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.

}, keywords = {Germ-Line Mutation, Hematopoiesis, Humans, Middle Aged, Mutation, Mutation, Missense, Phenotype}, issn = {2375-2548}, doi = {10.1126/sciadv.abm4945}, author = {Weinstock, Joshua S and Laurie, Cecelia A and Broome, Jai G and Taylor, Kent D and Guo, Xiuqing and Shuldiner, Alan R and O{\textquoteright}Connell, Jeffrey R and Lewis, Joshua P and Boerwinkle, Eric and Barnes, Kathleen C and Chami, Nathalie and Kenny, Eimear E and Loos, Ruth J F and Fornage, Myriam and Redline, Susan and Cade, Brian E and Gilliland, Frank D and Chen, Zhanghua and Gauderman, W James and Kumar, Rajesh and Grammer, Leslie and Schleimer, Robert P and Psaty, Bruce M and Bis, Joshua C and Brody, Jennifer A and Silverman, Edwin K and Yun, Jeong H and Qiao, Dandi and Weiss, Scott T and Lasky-Su, Jessica and DeMeo, Dawn L and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Cho, Michael H and Vasan, Ramachandran S and Johnson, Andrew D and Yanek, Lisa R and Becker, Lewis C and Kardia, Sharon and He, Jiang and Kaplan, Robert and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Arnett, Donna K and Irvin, Marguerite R and Tiwari, Hemant and Correa, Adolfo and Raffield, Laura M and Gao, Yan and de Andrade, Mariza and Rotter, Jerome I and Rich, Stephen S and Manichaikul, Ani W and Konkle, Barbara A and Johnsen, Jill M and Wheeler, Marsha M and Custer, Brian S and Duggirala, Ravindranath and Curran, Joanne E and Blangero, John and Gui, Hongsheng and Xiao, Shujie and Williams, L Keoki and Meyers, Deborah A and Li, Xingnan and Ortega, Victor and McGarvey, Stephen and Gu, C Charles and Chen, Yii-Der Ida and Lee, Wen-Jane and Shoemaker, M Benjamin and Darbar, Dawood and Roden, Dan and Albert, Christine and Kooperberg, Charles and Desai, Pinkal and Blackwell, Thomas W and Abecasis, Goncalo R and Smith, Albert V and Kang, Hyun M and Mathias, Rasika and Natarajan, Pradeep and Jaiswal, Siddhartha and Reiner, Alexander P and Bick, Alexander G} } @article {9586, title = {Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores.}, journal = {medRxiv}, year = {2023}, month = {2023 Dec 14}, abstract = {

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model{\textquoteright}s performance as percentage variance explained (PVE) on a held-out test dataset. A non-linear baseline model improved the PVEs from 28.1\% to 30.1\% (SBP) and 14.3\% to 17.4\% (DBP) compared with a linear baseline model. Including seven PRSs in the genetic model computed based on the largest available GWAS of SBP/DBP improved the genetic model PVE from 4.8\% to 5.1\% (SBP) and 4.7\% to 5\% (DBP) compared to using a single PRS. Adding additional 14 PRSs computed based on two independent GWASs further increased the genetic model PVE to 6.3\% (SBP) and 5.7\% (DBP). PVE differed across self-reported race/ethnicity groups, with primarily all non-White groups benefitting from the inclusion of additional PRSs.

}, doi = {10.1101/2023.12.13.23299909}, author = {Hrytsenko, Yana and Shea, Benjamin and Elgart, Michael and Kurniansyah, Nuzulul and Lyons, Genevieve and Morrison, Alanna C and Carson, April P and Haring, Bernhard and Mitchel, Braxton D and Psaty, Bruce M and Jaeger, Byron C and Gu, C Charles and Kooperberg, Charles and Levy, Daniel and Lloyd-Jones, Donald and Choi, Eunhee and Brody, Jennifer A and Smith, Jennifer A and Rotter, Jerome I and Moll, Matthew and Fornage, Myriam and Simon, Noah and Castaldi, Peter and Casanova, Ramon and Chung, Ren-Hua and Kaplan, Robert and Loos, Ruth J F and Kardia, Sharon L R and Rich, Stephen S and Redline, Susan and Kelly, Tanika and O{\textquoteright}Connor, Timothy and Zhao, Wei and Kim, Wonji and Guo, Xiuqing and Der Ida Chen, Yii and Sofer, Tamar} } @article {9538, title = {Mosaic chromosomal alterations in blood across ancestries using whole-genome sequencing.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Nov}, pages = {1912-1919}, abstract = {

Megabase-scale mosaic chromosomal alterations (mCAs) in blood are prognostic markers for a host of human diseases. Here, to gain a better understanding of mCA rates in genetically diverse populations, we analyzed whole-genome sequencing data from 67,390 individuals from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program. We observed higher sensitivity with whole-genome sequencing data, compared with array-based data, in uncovering mCAs at low mutant cell fractions and found that individuals of European ancestry have the highest rates of autosomal mCAs and the lowest rates of chromosome X mCAs, compared with individuals of African or Hispanic ancestry. Although further studies in diverse populations will be needed to replicate our findings, we report three loci associated with loss of chromosome X, associations between autosomal mCAs and rare variants in DCPS, ADM17, PPP1R16B and TET2 and ancestry-specific variants in ATM and MPL with mCAs in cis.

}, keywords = {Black People, Genome, Human, Genome-Wide Association Study, Hispanic or Latino, Humans, Mosaicism, Precision Medicine}, issn = {1546-1718}, doi = {10.1038/s41588-023-01553-1}, author = {Jakubek, Yasminka A and Zhou, Ying and Stilp, Adrienne and Bacon, Jason and Wong, Justin W and Ozcan, Zuhal and Arnett, Donna and Barnes, Kathleen and Bis, Joshua C and Boerwinkle, Eric and Brody, Jennifer A and Carson, April P and Chasman, Daniel I and Chen, Jiawen and Cho, Michael and Conomos, Matthew P and Cox, Nancy and Doyle, Margaret F and Fornage, Myriam and Guo, Xiuqing and Kardia, Sharon L R and Lewis, Joshua P and Loos, Ruth J F and Ma, Xiaolong and Machiela, Mitchell J and Mack, Taralynn M and Mathias, Rasika A and Mitchell, Braxton D and Mychaleckyj, Josyf C and North, Kari and Pankratz, Nathan and Peyser, Patricia A and Preuss, Michael H and Psaty, Bruce and Raffield, Laura M and Vasan, Ramachandran S and Redline, Susan and Rich, Stephen S and Rotter, Jerome I and Silverman, Edwin K and Smith, Jennifer A and Smith, Aaron P and Taub, Margaret and Taylor, Kent D and Yun, Jeong and Li, Yun and Desai, Pinkal and Bick, Alexander G and Reiner, Alexander P and Scheet, Paul and Auer, Paul L} } @article {9501, title = {Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification.}, journal = {Nat Genet}, volume = {55}, year = {2023}, month = {2023 Oct}, pages = {1651-1664}, abstract = {

Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population. Here we conducted the largest multi-ancestry GWAS meta-analysis of CAC to date, which comprised 26,909 individuals of European ancestry and 8,867 individuals of African ancestry. We identified 11 independent risk loci, of which eight were new for CAC and five had not been reported for CAD. These new CAC loci are related to bone mineralization, phosphate catabolism and hormone metabolic pathways. Several new loci harbor candidate causal genes supported by multiple lines of functional evidence and are regulators of smooth muscle cell-mediated calcification ex vivo and in vitro. Together, these findings help refine the genetic architecture of CAC and extend our understanding of the biological and potential druggable pathways underlying CAC.

}, issn = {1546-1718}, doi = {10.1038/s41588-023-01518-4}, author = {Kavousi, Maryam and Bos, Maxime M and Barnes, Hanna J and Lino Cardenas, Christian L and Wong, Doris and Lu, Haojie and Hodonsky, Chani J and Landsmeer, Lennart P L and Turner, Adam W and Kho, Minjung and Hasbani, Natalie R and de Vries, Paul S and Bowden, Donald W and Chopade, Sandesh and Deelen, Joris and Benavente, Ernest Diez and Guo, Xiuqing and Hofer, Edith and Hwang, Shih-Jen and Lutz, Sharon M and Lyytik{\"a}inen, Leo-Pekka and Slenders, Lotte and Smith, Albert V and Stanislawski, Maggie A and van Setten, Jessica and Wong, Quenna and Yanek, Lisa R and Becker, Diane M and Beekman, Marian and Budoff, Matthew J and Feitosa, Mary F and Finan, Chris and Hilliard, Austin T and Kardia, Sharon L R and Kovacic, Jason C and Kral, Brian G and Langefeld, Carl D and Launer, Lenore J and Malik, Shaista and Hoesein, Firdaus A A Mohamed and Mokry, Michal and Schmidt, Reinhold and Smith, Jennifer A and Taylor, Kent D and Terry, James G and van der Grond, Jeroen and van Meurs, Joyce and Vliegenthart, Rozemarijn and Xu, Jianzhao and Young, Kendra A and Zilh{\~a}o, Nuno R and Zweiker, Robert and Assimes, Themistocles L and Becker, Lewis C and Bos, Daniel and Carr, J Jeffrey and Cupples, L Adrienne and de Kleijn, Dominique P V and de Winther, Menno and den Ruijter, Hester M and Fornage, Myriam and Freedman, Barry I and Gudnason, Vilmundur and Hingorani, Aroon D and Hokanson, John E and Ikram, M Arfan and I{\v s}gum, Ivana and Jacobs, David R and K{\"a}h{\"o}nen, Mika and Lange, Leslie A and Lehtim{\"a}ki, Terho and Pasterkamp, Gerard and Raitakari, Olli T and Schmidt, Helena and Slagboom, P Eline and Uitterlinden, Andr{\'e} G and Vernooij, Meike W and Bis, Joshua C and Franceschini, Nora and Psaty, Bruce M and Post, Wendy S and Rotter, Jerome I and Bj{\"o}rkegren, Johan L M and O{\textquoteright}Donnell, Christopher J and Bielak, Lawrence F and Peyser, Patricia A and Malhotra, Rajeev and van der Laan, Sander W and Miller, Clint L} } @article {9385, title = {Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications.}, journal = {medRxiv}, year = {2023}, month = {2023 Mar 31}, abstract = {

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7\% non-European ancestry), including 428,452 T2D cases. We identify 1,289 independent association signals at genome-wide significance (P<5{\texttimes}10 ) that map to 611 loci, of which 145 loci are previously unreported. We define eight non-overlapping clusters of T2D signals characterised by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial, and enteroendocrine cells. We build cluster-specific partitioned genetic risk scores (GRS) in an additional 137,559 individuals of diverse ancestry, including 10,159 T2D cases, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned GRS are more strongly associated with coronary artery disease and end-stage diabetic nephropathy than an overall T2D GRS across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings demonstrate the value of integrating multi-ancestry GWAS with single-cell epigenomics to disentangle the aetiological heterogeneity driving the development and progression of T2D, which may offer a route to optimise global access to genetically-informed diabetes care.

}, doi = {10.1101/2023.03.31.23287839}, author = {Suzuki, Ken and Hatzikotoulas, Konstantinos and Southam, Lorraine and Taylor, Henry J and Yin, Xianyong and Lorenz, Kim M and Mandla, Ravi and Huerta-Chagoya, Alicia and Rayner, Nigel W and Bocher, Ozvan and Ana Luiza de, S V Arruda and Sonehara, Kyuto and Namba, Shinichi and Lee, Simon S K and Preuss, Michael H and Petty, Lauren E and Schroeder, Philip and Vanderwerff, Brett and Kals, Mart and Bragg, Fiona and Lin, Kuang and Guo, Xiuqing and Zhang, Weihua and Yao, Jie and Kim, Young Jin and Graff, Mariaelisa and Takeuchi, Fumihiko and Nano, Jana and Lamri, Amel and Nakatochi, Masahiro and Moon, Sanghoon and Scott, Robert A and Cook, James P and Lee, Jung-Jin and Pan, Ian and Taliun, Daniel and Parra, Esteban J and Chai, Jin-Fang and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Thorleifsson, Gudmar and Grarup, Niels and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Kwak, Soo-Heon and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Nongmaithem, Suraj S and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Brody, Jennifer A and Kabagambe, Edmond and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Alaine Broadaway, K and Williamson, Alice and Kamali, Zoha and Cui, Jinrui and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Ahluwalia, Tarunveer S and Anand, Sonia S and Bertoni, Alain and Bork-Jensen, Jette and Brandslund, Ivan and Buchanan, Thomas A and Burant, Charles F and Butterworth, Adam S and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Danesh, John and Das, Swapan K and Janaka de Silva, H and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Gordon-Larsen, Penny and Gross, Myron and Guare, Lindsay A and Hackinger, Sophie and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Horikoshi, Momoko and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Torben and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Kyung Min and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Lithgart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lynch, Julie A and Lyssenko, Valeriya and Maeda, Shiro and Mamakou, Vasiliki and Mansuri, Sohail Rafik and Matsuda, Koichi and Meitinger, Thomas and Metspalu, Andres and Mo, Huan and Morris, Andrew D and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Patil, Snehal and Pei, Pei and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Polikowsky, Hannah G and Porneala, Bianca and Prasad, Gauri and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Katheryn and Sabanayagam, Charumathi and Sandow, Kevin and Sankareswaran, Alagu and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Shahriar, Mohammad and Shen, Botong and Shi, Jinxiu and Shin, Dong Mun and Shojima, Nobuhiro and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Steinthorsdottir, Valgerdur and Stilp, Adrienne M and Strauch, Konstantin and Taylor, Kent D and Thorand, Barbara and Thorsteinsdottir, Unnur and Tomlinson, Brian and Tran, Tam C and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Wacher-Rodarte, Niels and Wheeler, Eleanor and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamamoto, Kenichi and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zawistowski, Matthew and Zhang, Liang and Zheng, Wei and Project, Biobank Japan and BioBank, Penn Medicine and Center, Regeneron Genetics and Consortium, eMERGE and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Fornage, Myriam and Hanis, Craig L and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Yokota, Mitsuhiro and Kardia, Sharon L R and Peyser, Patricia A and Pankow, James S and Engert, James C and Bonnefond, Am{\'e}lie and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Wu, Jer-Yuarn and Geoffrey Hayes, M and Ma, Ronald C W and Wong, Tien-Yin and Mook-Kanamori, Dennis O and Tuomi, Tiinamaija and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and Chen, Yii-Der Ida and Rich, Stephen S and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Ghanbari, Mohsen and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Bowden, Donald W and Palmer, Colin N A and Kooner, Jaspal S and Kooperberg, Charles and Liu, Simin and North, Kari E and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and Wareham, Nicholas J and Lee, Juyoung and Kim, Bong-Jo and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Goodarzi, Mark O and Mohlke, Karen L and Langenberg, Claudia and Haiman, Christopher A and Loos, Ruth J F and Florez, Jose C and Rader, Daniel J and Ritchie, Marylyn D and Z{\"o}llner, Sebastian and M{\"a}gi, Reedik and Denny, Joshua C and Yamauchi, Toshimasa and Kadowaki, Takashi and Chambers, John C and Ng, Maggie C Y and Sim, Xueling and Below, Jennifer E and Tsao, Philip S and Chang, Kyong-Mi and McCarthy, Mark I and Meigs, James B and Mahajan, Anubha and Spracklen, Cassandra N and Mercader, Josep M and Boehnke, Michael and Rotter, Jerome I and Vujkovic, Marijana and Voight, Benjamin F and Morris, Andrew P and Zeggini, Eleftheria} } @article {9418, title = {Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study.}, journal = {medRxiv}, year = {2023}, month = {2023 Jun 29}, abstract = {

Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions. Large-scale whole genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess the associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with blood lipid levels (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare variant aggregate association tests using the STAAR (variant-Set Test for Association using Annotation infoRmation) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare coding variants in nearby protein coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a {\textpm}500 kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73\%) were conditionally independent of common regulatory variations and rare protein coding variations at the same loci. We replicated 34 out of 61 (56\%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNA, implicating new therapeutic opportunities.

}, doi = {10.1101/2023.06.28.23291966}, author = {Wang, Yuxuan and Selvaraj, Margaret Sunitha and Li, Xihao and Li, Zilin and Holdcraft, Jacob A and Arnett, Donna K and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Cade, Brian E and Carlson, Jenna C and Carson, April P and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Dutcher, Susan K and Ellinor, Patrick T and Floyd, James S and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Germer, Soren and Gibbs, Richard A and Guo, Xiuqing and He, Jiang and Heard-Costa, Nancy and Hildalgo, Bertha and Hou, Lifang and Irvin, Marguerite R and Joehanes, Roby and Kaplan, Robert C and Kardia, Sharon Lr and Kelly, Tanika N and Kim, Ryan and Kooperberg, Charles and Kral, Brian G and Levy, Daniel and Li, Changwei and Liu, Chunyu and Lloyd-Jone, Don and Loos, Ruth Jf and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Minster, Ryan L and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Murabito, Joanne M and Naseri, Take and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Preuss, Michael H and Psaty, Bruce M and Raffield, Laura M and Rao, Dabeeru C and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Ruepena, Muagututi{\textquoteright}a Sefuiva and Sheu, Wayne H-H and Smith, Jennifer A and Smith, Albert and Tiwari, Hemant K and Tsai, Michael Y and Viaud-Martinez, Karine A and Wang, Zhe and Yanek, Lisa R and Zhao, Wei and Rotter, Jerome I and Lin, Xihong and Natarajan, Pradeep and Peloso, Gina M} } @article {9543, title = {A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies.}, journal = {bioRxiv}, year = {2023}, month = {2023 Nov 02}, abstract = {

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally-scalable analytical pipeline for functionally-informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple traits, and further empowers rare variant association analysis by incorporating multiple functional annotations. We applied MultiSTAAR to jointly analyze three lipid traits (low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides) in 61,861 multi-ethnic samples from the Trans-Omics for Precision Medicine (TOPMed) Program. We discovered new associations with lipid traits missed by single-trait analysis, including rare variants within an enhancer of and an intergenic region on chromosome 1.

}, doi = {10.1101/2023.10.30.564764}, author = {Li, Xihao and Chen, Han and Selvaraj, Margaret Sunitha and Van Buren, Eric and Zhou, Hufeng and Wang, Yuxuan and Sun, Ryan and McCaw, Zachary R and Yu, Zhi and Arnett, Donna K and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Brody, Jennifer A and Cade, Brian E and Carson, April P and Carlson, Jenna C and Chami, Nathalie and Chen, Yii-Der Ida and Curran, Joanne E and de Vries, Paul S and Fornage, Myriam and Franceschini, Nora and Freedman, Barry I and Gu, Charles and Heard-Costa, Nancy L and He, Jiang and Hou, Lifang and Hung, Yi-Jen and Irvin, Marguerite R and Kaplan, Robert C and Kardia, Sharon L R and Kelly, Tanika and Konigsberg, Iain and Kooperberg, Charles and Kral, Brian G and Li, Changwei and Loos, Ruth J F and Mahaney, Michael C and Martin, Lisa W and Mathias, Rasika A and Minster, Ryan L and Mitchell, Braxton D and Montasser, May E and Morrison, Alanna C and Palmer, Nicholette D and Peyser, Patricia A and Psaty, Bruce M and Raffield, Laura M and Redline, Susan and Reiner, Alexander P and Rich, Stephen S and Sitlani, Colleen M and Smith, Jennifer A and Taylor, Kent D and Tiwari, Hemant and Vasan, Ramachandran S and Wang, Zhe and Yanek, Lisa R and Yu, Bing and Rice, Kenneth M and Rotter, Jerome I and Peloso, Gina M and Natarajan, Pradeep and Li, Zilin and Liu, Zhonghua and Lin, Xihong} } @article {9537, title = {Type 2 Diabetes Modifies the Association of CAD Genomic Risk Variants With Subclinical Atherosclerosis.}, journal = {Circ Genom Precis Med}, year = {2023}, month = {2023 Nov 28}, pages = {e004176}, abstract = {

BACKGROUND: Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D.

METHODS: We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 T2D cases leveraging whole-genome sequencing data from the Trans-Omics for Precision Medicine program. We included first-order T2D interaction terms in each model to determine whether CAD loci were modified by T2D. The genetic main and interaction effects were assessed using a joint test to determine whether a CAD variant, or gene-based rare variant set, was associated with the respective subclinical atherosclerosis measures and then further determined whether these loci had a significant interaction test.

RESULTS: Using a Bonferroni-corrected significance threshold of <1.6{\texttimes}10, we identified 3 genes (, , and ) associated with CAC and 2 genes ( and ) associated with carotid intima-media thickness and carotid plaque, respectively, through gene-based rare variant set analysis. Both and also had significantly different associations for CAC in T2D cases versus controls. No significant interaction tests were identified through the candidate single-variant analysis.

CONCLUSIONS: These results highlight T2D as an important modifier of rare variant associations in CAD loci with CAC.

}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.123.004176}, author = {Hasbani, Natalie R and Westerman, Kenneth E and Heon Kwak, Soo and Chen, Han and Li, Xihao and DiCorpo, Daniel and Wessel, Jennifer and Bis, Joshua C and Sarnowski, Chloe and Wu, Peitao and Bielak, Lawrence F and Guo, Xiuqing and Heard-Costa, Nancy and Kinney, Gregory and Mahaney, Michael C and Montasser, May E and Palmer, Nicholette D and Raffield, Laura M and Terry, James G and Yanek, Lisa R and Bon, Jessica and Bowden, Donald W and Brody, Jennifer A and Duggirala, Ravindranath and Jacobs, David R and Kalyani, Rita R and Lange, Leslie A and Mitchell, Braxton D and Smith, Jennifer A and Taylor, Kent D and Carson, April and Curran, Joanne E and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Gibbs, Richard A and Gupta, Namrata and Kardia, Sharon L R and Kral, Brian G and Momin, Zeineen and Newman, Anne B and Post, Wendy S and Viaud-Martinez, Karine A and Young, Kendra A and Becker, Lewis C and Bertoni, Alain and Blangero, John and Carr, John J and Pratte, Katherine and Psaty, Bruce M and Rich, Stephen S and Wu, Joseph C and Malhotra, Rajeev and Peyser, Patricia A and Morrison, Alanna C and Vasan, Ramachandran S and Lin, Xihong and Rotter, Jerome I and Meigs, James B and Manning, Alisa K and de Vries, Paul S} } @article {9449, title = {Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.}, journal = {medRxiv}, year = {2023}, month = {2023 Jun 12}, abstract = {

UNLABELLED: Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole genome sequencing (WGS) data provides better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the NHLBI{\textquoteright}s Trans-Omics for Precision Medicine (TOPMed) program (n=32,572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium (n=131,340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, four are driven by common variants of small effect with reported MAF at least 10\% higher in African populations. Three ( , and signals contain predicted deleterious missense variants. Two loci, and , each harbor two conditionally distinct, non-coding variants. The gene region encoding the protein chain subunits ( ), contains 7 distinct signals, including one novel signal driven by rs28577061, a variant common (MAF=0.180) in African reference panels but extremely rare (MAF=0.008) in Europeans. Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.

KEY POINTS: Largest and most diverse genetic study of plasma fibrinogen identifies 54 regions (18 novel), housing 69 conditionally distinct variants (20 novel).Sufficient power achieved to identify signal driven by African population variant.Links to (1) liver enzyme, blood cell and lipid genetic signals, (2) liver regulatory elements, and (3) thrombotic and inflammatory disease.

}, doi = {10.1101/2023.06.07.23291095}, author = {Huffman, Jennifer E and Nicolas, Jayna and Hahn, Julie and Heath, Adam S and Raffield, Laura M and Yanek, Lisa R and Brody, Jennifer A and Thibord, Florian and Almasy, Laura and Bartz, Traci M and Bielak, Lawrence F and Bowler, Russell P and Carrasquilla, Germ{\'a}n D and Chasman, Daniel I and Chen, Ming-Huei and Emmert, David B and Ghanbari, Mohsen and Haessle, Jeffery and Hottenga, Jouke-Jan and Kleber, Marcus E and Le, Ngoc-Quynh and Lee, Jiwon and Lewis, Joshua P and Li-Gao, Ruifang and Luan, Jian{\textquoteright}an and Malmberg, Anni and Mangino, Massimo and Marioni, Riccardo E and Martinez-Perez, Angel and Pankratz, Nathan and Polasek, Ozren and Richmond, Anne and Rodriguez, Benjamin At and Rotter, Jerome I and Steri, Maristella and Suchon, Pierre and Trompet, Stella and Weiss, Stefan and Zare, Marjan and Auer, Paul and Cho, Michael H and Christofidou, Paraskevi and Davies, Gail and de Geus, Eco and Deleuze, Jean-Francois and Delgado, Graciela E and Ekunwe, Lynette and Faraday, Nauder and G{\"o}gele, Martin and Greinacher, Andreas and He, Gao and Howard, Tom and Joshi, Peter K and Kilpel{\"a}inen, Tuomas O and Lahti, Jari and Linneberg, Allan and Naitza, Silvia and Noordam, Raymond and Pa{\"u}ls-Verg{\'e}s, Ferran and Rich, Stephen S and Rosendaal, Frits R and Rudan, Igor and Ryan, Kathleen A and Souto, Juan Carlos and van Rooij, Frank Ja and Wang, Heming and Zhao, Wei and Becker, Lewis C and Beswick, Andrew and Brown, Michael R and Cade, Brian E and Campbell, Harry and Cho, Kelly and Crapo, James D and Curran, Joanne E and de Maat, Moniek Pm and Doyle, Margaret and Elliott, Paul and Floyd, James S and Fuchsberger, Christian and Grarup, Niels and Guo, Xiuqing and Harris, Sarah E and Hou, Lifang and Kolcic, Ivana and Kooperberg, Charles and Menni, Cristina and Nauck, Matthias and O{\textquoteright}Connell, Jeffrey R and Orr{\`u}, Valeria and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Smith, Jennifer A and Soria, Jos{\'e} Manuel and Stott, David J and van Hylckama Vlieg, Astrid and Watkins, Hugh and Willemsen, Gonneke and Wilson, Peter and Ben-Shlomo, Yoav and Blangero, John and Boomsma, Dorret and Cox, Simon R and Dehghan, Abbas and Eriksson, Johan G and Fiorillo, Edoardo and Fornage, Myriam and Hansen, Torben and Hayward, Caroline and Ikram, M Arfan and Jukema, J Wouter and Kardia, Sharon Lr and Lange, Leslie A and M{\"a}rz, Winfried and Mathias, Rasika A and Mitchell, Braxton D and Mook-Kanamori, Dennis O and Morange, Pierre-Emmanuel and Pedersen, Oluf and Pramstaller, Peter P and Redline, Susan and Reiner, Alexander and Ridker, Paul M and Silverman, Edwin K and Spector, Tim D and V{\"o}lker, Uwe and Wareham, Nick and Wilson, James F and Yao, Jie and Tr{\'e}gou{\"e}t, David-Alexandre and Johnson, Andrew D and Wolberg, Alisa S and de Vries, Paul S and Sabater-Lleal, Maria and Morrison, Alanna C and Smith, Nicholas L} } @article {9484, title = {WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE.}, journal = {medRxiv}, year = {2023}, month = {2023 Aug 22}, abstract = {

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51\% were of non-European population groups. We discovered 18 BMI-associated signals ( < 5 {\texttimes} 10 ). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the and loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.

}, doi = {10.1101/2023.08.21.23293271}, author = {Zhang, Xinruo and Brody, Jennifer A and Graff, Mariaelisa and Highland, Heather M and Chami, Nathalie and Xu, Hanfei and Wang, Zhe and Ferrier, Kendra and Chittoor, Geetha and Josyula, Navya S and Li, Xihao and Li, Zilin and Allison, Matthew A and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Boorgula, Meher Preethi and Bowden, Donald W and Broome, Jai G and Buth, Erin J and Carlson, Christopher S and Chang, Kyong-Mi and Chavan, Sameer and Chiu, Yen-Feng and Chuang, Lee-Ming and Conomos, Matthew P and DeMeo, Dawn L and Du, Margaret and Duggirala, Ravindranath and Eng, Celeste and Fohner, Alison E and Freedman, Barry I and Garrett, Melanie E and Guo, Xiuqing and Haiman, Chris and Heavner, Benjamin D and Hidalgo, Bertha and Hixson, James E and Ho, Yuk-Lam and Hobbs, Brian D and Hu, Donglei and Hui, Qin and Hwu, Chii-Min and Jackson, Rebecca D and Jain, Deepti and Kalyani, Rita R and Kardia, Sharon L R and Kelly, Tanika N and Lange, Ethan M and LeNoir, Michael and Li, Changwei and Marchand, Loic Le and McDonald, Merry-Lynn N and McHugh, Caitlin P and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey and O{\textquoteright}Donnell, Christopher J and Palmer, Nicholette D and Pankow, James S and Perry, James A and Peters, Ulrike and Preuss, Michael H and Rao, D C and Regan, Elizabeth A and Reupena, Sefuiva M and Roden, Dan M and Rodriguez-Santana, Jose and Sitlani, Colleen M and Smith, Jennifer A and Tiwari, Hemant K and Vasan, Ramachandran S and Wang, Zeyuan and Weeks, Daniel E and Wessel, Jennifer and Wiggins, Kerri L and Wilkens, Lynne R and Wilson, Peter W F and Yanek, Lisa R and Yoneda, Zachary T and Zhao, Wei and Z{\"o}llner, Sebastian and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Blangero, John and Boerwinkle, Eric and Burchard, Esteban G and Carson, April P and Chasman, Daniel I and Chen, Yii-Der Ida and Curran, Joanne E and Fornage, Myriam and Gordeuk, Victor R and He, Jiang and Heckbert, Susan R and Hou, Lifang and Irvin, Marguerite R and Kooperberg, Charles and Minster, Ryan L and Mitchell, Braxton D and Nouraie, Mehdi and Psaty, Bruce M and Raffield, Laura M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Shoemaker, M Benjamin and Smith, Nicholas L and Taylor, Kent D and Telen, Marilyn J and Weiss, Scott T and Zhang, Yingze and Costa, Nancy Heard- and Sun, Yan V and Lin, Xihong and Cupples, L Adrienne and Lange, Leslie A and Liu, Ching-Ti and Loos, Ruth J F and North, Kari E and Justice, Anne E} } @article {9500, title = {Whole Genome Sequencing Based Analysis of Inflammation Biomarkers in the Trans-Omics for Precision Medicine (TOPMed) Consortium.}, journal = {bioRxiv}, year = {2023}, month = {2023 Sep 12}, abstract = {

Inflammation biomarkers can provide valuable insight into the role of inflammatory processes in many diseases and conditions. Sequencing based analyses of such biomarkers can also serve as an exemplar of the genetic architecture of quantitative traits. To evaluate the biological insight, which can be provided by a multi-ancestry, whole-genome based association study, we performed a comprehensive analysis of 21 inflammation biomarkers from up to 38,465 individuals with whole-genome sequencing from the Trans-Omics for Precision Medicine (TOPMed) program. We identified 22 distinct single-variant associations across 6 traits - E-selectin, intercellular adhesion molecule 1, interleukin-6, lipoprotein-associated phospholipase A2 activity and mass, and P-selectin - that remained significant after conditioning on previously identified associations for these inflammatory biomarkers. We further expanded upon known biomarker associations by pairing the single-variant analysis with a rare variant set-based analysis that further identified 19 significant rare variant set-based associations with 5 traits. These signals were distinct from both significant single variant association signals within TOPMed and genetic signals observed in prior studies, demonstrating the complementary value of performing both single and rare variant analyses when analyzing quantitative traits. We also confirm several previously reported signals from semi-quantitative proteomics platforms. Many of these signals demonstrate the extensive allelic heterogeneity and ancestry-differentiated variant-trait associations common for inflammation biomarkers, a characteristic we hypothesize will be increasingly observed with well-powered, large-scale analyses of complex traits.

}, doi = {10.1101/2023.09.10.555215}, author = {Jiang, Min-Zhi and Gaynor, Sheila M and Li, Xihao and Van Buren, Eric and Stilp, Adrienne and Buth, Erin and Wang, Fei Fei and Manansala, Regina and Gogarten, Stephanie M and Li, Zilin and Polfus, Linda M and Salimi, Shabnam and Bis, Joshua C and Pankratz, Nathan and Yanek, Lisa R and Durda, Peter and Tracy, Russell P and Rich, Stephen S and Rotter, Jerome I and Mitchell, Braxton D and Lewis, Joshua P and Psaty, Bruce M and Pratte, Katherine A and Silverman, Edwin K and Kaplan, Robert C and Avery, Christy and North, Kari and Mathias, Rasika A and Faraday, Nauder and Lin, Honghuang and Wang, Biqi and Carson, April P and Norwood, Arnita F and Gibbs, Richard A and Kooperberg, Charles and Lundin, Jessica and Peters, Ulrike and Dupuis, Jos{\'e}e and Hou, Lifang and Fornage, Myriam and Benjamin, Emelia J and Reiner, Alexander P and Bowler, Russell P and Lin, Xihong and Auer, Paul L and Raffield, Laura M} } @article {9620, title = {Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol.}, journal = {JAMA Cardiol}, year = {2024}, month = {2024 Jan 31}, abstract = {

IMPORTANCE: Familial hypercholesterolemia (FH) is a genetic disorder that often results in severely high low-density lipoprotein cholesterol (LDL-C) and high risk of premature coronary heart disease (CHD). However, the impact of FH variants on CHD risk among individuals with moderately elevated LDL-C is not well quantified.

OBJECTIVE: To assess CHD risk associated with FH variants among individuals with moderately (130-189 mg/dL) and severely (>=190 mg/dL) elevated LDL-C and to quantify excess CHD deaths attributable to FH variants in US adults.

DESIGN, SETTING, AND PARTICIPANTS: A total of 21 426 individuals without preexisting CHD from 6 US cohort studies (Atherosclerosis Risk in Communities study, Coronary Artery Risk Development in Young Adults study, Cardiovascular Health Study, Framingham Heart Study Offspring cohort, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis) were included, 63 of whom had an FH variant. Data were collected from 1971 to 2018, and the median (IQR) follow-up was 18 (13-28) years. Data were analyzed from March to May 2023.

EXPOSURES: LDL-C, cumulative past LDL-C, FH variant status.

MAIN OUTCOMES AND MEASURES: Cox proportional hazards models estimated associations between FH variants and incident CHD. The Cardiovascular Disease Policy Model projected excess CHD deaths associated with FH variants in US adults.

RESULTS: Of the 21 426 individuals without preexisting CHD (mean [SD] age 52.1 [15.5] years; 12 041 [56.2\%] female), an FH variant was found in 22 individuals with moderately elevated LDL-C (0.3\%) and in 33 individuals with severely elevated LDL-C (2.5\%). The adjusted hazard ratios for incident CHD comparing those with and without FH variants were 2.9 (95\% CI, 1.4-6.0) and 2.6 (95\% CI, 1.4-4.9) among individuals with moderately and severely elevated LDL-C, respectively. The association between FH variants and CHD was slightly attenuated when further adjusting for baseline LDL-C level, whereas the association was no longer statistically significant after adjusting for cumulative past LDL-C exposure. Among US adults 20 years and older with no history of CHD and LDL-C 130 mg/dL or higher, more than 417 000 carry an FH variant and were projected to experience more than 12 000 excess CHD deaths in those with moderately elevated LDL-C and 15 000 in those with severely elevated LDL-C compared with individuals without an FH variant.

CONCLUSIONS AND RELEVANCE: In this pooled cohort study, the presence of FH variants was associated with a 2-fold higher CHD risk, even when LDL-C was only moderately elevated. The increased CHD risk appeared to be largely explained by the higher cumulative LDL-C exposure in individuals with an FH variant compared to those without. Further research is needed to assess the value of adding genetic testing to traditional phenotypic FH screening.

}, issn = {2380-6591}, doi = {10.1001/jamacardio.2023.5366}, author = {Zhang, Yiyi and Dron, Jacqueline S and Bellows, Brandon K and Khera, Amit V and Liu, Junxiu and Balte, Pallavi P and Oelsner, Elizabeth C and Amr, Sami Samir and Lebo, Matthew S and Nagy, Anna and Peloso, Gina M and Natarajan, Pradeep and Rotter, Jerome I and Willer, Cristen and Boerwinkle, Eric and Ballantyne, Christie M and Lutsey, Pamela L and Fornage, Myriam and Lloyd-Jones, Donald M and Hou, Lifang and Psaty, Bruce M and Bis, Joshua C and Floyd, James S and Vasan, Ramachandran S and Heard-Costa, Nancy L and Carson, April P and Hall, Michael E and Rich, Stephen S and Guo, Xiuqing and Kazi, Dhruv S and de Ferranti, Sarah D and Moran, Andrew E} } @article {9619, title = {Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.}, journal = {Nature}, year = {2024}, month = {2024 Feb 19}, abstract = {

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7\% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 {\texttimes} 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

}, issn = {1476-4687}, doi = {10.1038/s41586-024-07019-6}, author = {Suzuki, Ken and Hatzikotoulas, Konstantinos and Southam, Lorraine and Taylor, Henry J and Yin, Xianyong and Lorenz, Kim M and Mandla, Ravi and Huerta-Chagoya, Alicia and Melloni, Giorgio E M and Kanoni, Stavroula and Rayner, Nigel W and Bocher, Ozvan and Arruda, Ana Luiza and Sonehara, Kyuto and Namba, Shinichi and Lee, Simon S K and Preuss, Michael H and Petty, Lauren E and Schroeder, Philip and Vanderwerff, Brett and Kals, Mart and Bragg, Fiona and Lin, Kuang and Guo, Xiuqing and Zhang, Weihua and Yao, Jie and Kim, Young Jin and Graff, Mariaelisa and Takeuchi, Fumihiko and Nano, Jana and Lamri, Amel and Nakatochi, Masahiro and Moon, Sanghoon and Scott, Robert A and Cook, James P and Lee, Jung-Jin and Pan, Ian and Taliun, Daniel and Parra, Esteban J and Chai, Jin-Fang and Bielak, Lawrence F and Tabara, Yasuharu and Hai, Yang and Thorleifsson, Gudmar and Grarup, Niels and Sofer, Tamar and Wuttke, Matthias and Sarnowski, Chloe and Gieger, Christian and Nousome, Darryl and Trompet, Stella and Kwak, Soo-Heon and Long, Jirong and Sun, Meng and Tong, Lin and Chen, Wei-Min and Nongmaithem, Suraj S and Noordam, Raymond and Lim, Victor J Y and Tam, Claudia H T and Joo, Yoonjung Yoonie and Chen, Chien-Hsiun and Raffield, Laura M and Prins, Bram Peter and Nicolas, Aude and Yanek, Lisa R and Chen, Guanjie and Brody, Jennifer A and Kabagambe, Edmond and An, Ping and Xiang, Anny H and Choi, Hyeok Sun and Cade, Brian E and Tan, Jingyi and Broadaway, K Alaine and Williamson, Alice and Kamali, Zoha and Cui, Jinrui and Thangam, Manonanthini and Adair, Linda S and Adeyemo, Adebowale and Aguilar-Salinas, Carlos A and Ahluwalia, Tarunveer S and Anand, Sonia S and Bertoni, Alain and Bork-Jensen, Jette and Brandslund, Ivan and Buchanan, Thomas A and Burant, Charles F and Butterworth, Adam S and Canouil, Micka{\"e}l and Chan, Juliana C N and Chang, Li-Ching and Chee, Miao-Li and Chen, Ji and Chen, Shyh-Huei and Chen, Yuan-Tsong and Chen, Zhengming and Chuang, Lee-Ming and Cushman, Mary and Danesh, John and Das, Swapan K and de Silva, H Janaka and Dedoussis, George and Dimitrov, Latchezar and Doumatey, Ayo P and Du, Shufa and Duan, Qing and Eckardt, Kai-Uwe and Emery, Leslie S and Evans, Daniel S and Evans, Michele K and Fischer, Krista and Floyd, James S and Ford, Ian and Franco, Oscar H and Frayling, Timothy M and Freedman, Barry I and Genter, Pauline and Gerstein, Hertzel C and Giedraitis, Vilmantas and Gonz{\'a}lez-Villalpando, Clicerio and Gonzalez-Villalpando, Maria Elena and Gordon-Larsen, Penny and Gross, Myron and Guare, Lindsay A and Hackinger, Sophie and Hakaste, Liisa and Han, Sohee and Hattersley, Andrew T and Herder, Christian and Horikoshi, Momoko and Howard, Annie-Green and Hsueh, Willa and Huang, Mengna and Huang, Wei and Hung, Yi-Jen and Hwang, Mi Yeong and Hwu, Chii-Min and Ichihara, Sahoko and Ikram, Mohammad Arfan and Ingelsson, Martin and Islam, Md Tariqul and Isono, Masato and Jang, Hye-Mi and Jasmine, Farzana and Jiang, Guozhi and Jonas, Jost B and J{\o}rgensen, Torben and Kamanu, Frederick K and Kandeel, Fouad R and Kasturiratne, Anuradhani and Katsuya, Tomohiro and Kaur, Varinderpal and Kawaguchi, Takahisa and Keaton, Jacob M and Kho, Abel N and Khor, Chiea-Chuen and Kibriya, Muhammad G and Kim, Duk-Hwan and Kronenberg, Florian and Kuusisto, Johanna and L{\"a}ll, Kristi and Lange, Leslie A and Lee, Kyung Min and Lee, Myung-Shik and Lee, Nanette R and Leong, Aaron and Li, Liming and Li, Yun and Li-Gao, Ruifang and Ligthart, Symen and Lindgren, Cecilia M and Linneberg, Allan and Liu, Ching-Ti and Liu, Jianjun and Locke, Adam E and Louie, Tin and Luan, Jian{\textquoteright}an and Luk, Andrea O and Luo, Xi and Lv, Jun and Lynch, Julie A and Lyssenko, Valeriya and Maeda, Shiro and Mamakou, Vasiliki and Mansuri, Sohail Rafik and Matsuda, Koichi and Meitinger, Thomas and Melander, Olle and Metspalu, Andres and Mo, Huan and Morris, Andrew D and Moura, Filipe A and Nadler, Jerry L and Nalls, Michael A and Nayak, Uma and Ntalla, Ioanna and Okada, Yukinori and Orozco, Lorena and Patel, Sanjay R and Patil, Snehal and Pei, Pei and Pereira, Mark A and Peters, Annette and Pirie, Fraser J and Polikowsky, Hannah G and Porneala, Bianca and Prasad, Gauri and Rasmussen-Torvik, Laura J and Reiner, Alexander P and Roden, Michael and Rohde, Rebecca and Roll, Katheryn and Sabanayagam, Charumathi and Sandow, Kevin and Sankareswaran, Alagu and Sattar, Naveed and Sch{\"o}nherr, Sebastian and Shahriar, Mohammad and Shen, Botong and Shi, Jinxiu and Shin, Dong Mun and Shojima, Nobuhiro and Smith, Jennifer A and So, Wing Yee and Stan{\v c}{\'a}kov{\'a}, Alena and Steinthorsdottir, Valgerdur and Stilp, Adrienne M and Strauch, Konstantin and Taylor, Kent D and Thorand, Barbara and Thorsteinsdottir, Unnur and Tomlinson, Brian and Tran, Tam C and Tsai, Fuu-Jen and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and Valladares-Salgado, Adan and van Dam, Rob M and van Klinken, Jan B and Varma, Rohit and Wacher-Rodarte, Niels and Wheeler, Eleanor and Wickremasinghe, Ananda R and van Dijk, Ko Willems and Witte, Daniel R and Yajnik, Chittaranjan S and Yamamoto, Ken and Yamamoto, Kenichi and Yoon, Kyungheon and Yu, Canqing and Yuan, Jian-Min and Yusuf, Salim and Zawistowski, Matthew and Zhang, Liang and Zheng, Wei and Raffel, Leslie J and Igase, Michiya and Ipp, Eli and Redline, Susan and Cho, Yoon Shin and Lind, Lars and Province, Michael A and Fornage, Myriam and Hanis, Craig L and Ingelsson, Erik and Zonderman, Alan B and Psaty, Bruce M and Wang, Ya-Xing and Rotimi, Charles N and Becker, Diane M and Matsuda, Fumihiko and Liu, Yongmei and Yokota, Mitsuhiro and Kardia, Sharon L R and Peyser, Patricia A and Pankow, James S and Engert, James C and Bonnefond, Am{\'e}lie and Froguel, Philippe and Wilson, James G and Sheu, Wayne H H and Wu, Jer-Yuarn and Hayes, M Geoffrey and Ma, Ronald C W and Wong, Tien-Yin and Mook-Kanamori, Dennis O and Tuomi, Tiinamaija and Chandak, Giriraj R and Collins, Francis S and Bharadwaj, Dwaipayan and Par{\'e}, Guillaume and Sale, Mich{\`e}le M and Ahsan, Habibul and Motala, Ayesha A and Shu, Xiao-Ou and Park, Kyong-Soo and Jukema, J Wouter and Cruz, Miguel and Chen, Yii-Der Ida and Rich, Stephen S and McKean-Cowdin, Roberta and Grallert, Harald and Cheng, Ching-Yu and Ghanbari, Mohsen and Tai, E-Shyong and Dupuis, Jos{\'e}e and Kato, Norihiro and Laakso, Markku and K{\"o}ttgen, Anna and Koh, Woon-Puay and Bowden, Donald W and Palmer, Colin N A and Kooner, Jaspal S and Kooperberg, Charles and Liu, Simin and North, Kari E and Saleheen, Danish and Hansen, Torben and Pedersen, Oluf and Wareham, Nicholas J and Lee, Juyoung and Kim, Bong-Jo and Millwood, Iona Y and Walters, Robin G and Stefansson, Kari and Ahlqvist, Emma and Goodarzi, Mark O and Mohlke, Karen L and Langenberg, Claudia and Haiman, Christopher A and Loos, Ruth J F and Florez, Jose C and Rader, Daniel J and Ritchie, Marylyn D and Z{\"o}llner, Sebastian and M{\"a}gi, Reedik and Marston, Nicholas A and Ruff, Christian T and van Heel, David A and Finer, Sarah and Denny, Joshua C and Yamauchi, Toshimasa and Kadowaki, Takashi and Chambers, John C and Ng, Maggie C Y and Sim, Xueling and Below, Jennifer E and Tsao, Philip S and Chang, Kyong-Mi and McCarthy, Mark I and Meigs, James B and Mahajan, Anubha and Spracklen, Cassandra N and Mercader, Josep M and Boehnke, Michael and Rotter, Jerome I and Vujkovic, Marijana and Voight, Benjamin F and Morris, Andrew P and Zeggini, Eleftheria} } @article {9642, title = {A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations.}, journal = {medRxiv}, year = {2024}, month = {2024 Mar 08}, abstract = {

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausibility of distinct influences of both sleep duration extremes in cardiovascular health. With several of our loci reflecting specificity towards population background or sex, our discovery sheds light on the importance of embracing granularity when addressing heterogeneity entangled in gene-environment interactions, and in therapeutic design approaches for blood pressure management.

}, doi = {10.1101/2024.03.07.24303870}, author = {Nagarajan, Pavithra and Winkler, Thomas W and Bentley, Amy R and Miller, Clint L and Kraja, Aldi T and Schwander, Karen and Lee, Songmi and Wang, Wenyi and Brown, Michael R and Morrison, John L and Giri, Ayush and O{\textquoteright}Connell, Jeffrey R and Bartz, Traci M and de Las Fuentes, Lisa and Gudmundsdottir, Valborg and Guo, Xiuqing and Harris, Sarah E and Huang, Zhijie and Kals, Mart and Kho, Minjung and Lefevre, Christophe and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Mangino, Massimo and Milaneschi, Yuri and Palmer, Nicholette D and Rao, Varun and Rauramaa, Rainer and Shen, Botong and Stadler, Stefan and Sun, Quan and Tang, Jingxian and Th{\'e}riault, S{\'e}bastien and van der Graaf, Adriaan and van der Most, Peter J and Wang, Yujie and Weiss, Stefan and Westerman, Kenneth E and Yang, Qian and Yasuharu, Tabara and Zhao, Wei and Zhu, Wanying and Altschul, Drew and Ansari, Md Abu Yusuf and Anugu, Pramod and Argoty-Pantoja, Anna D and Arzt, Michael and Aschard, Hugues and Attia, John R and Bazzanno, Lydia and Breyer, Max A and Brody, Jennifer A and Cade, Brian E and Chen, Hung-Hsin and Ida Chen, Yii-Der and Chen, Zekai and de Vries, Paul S and Dimitrov, Latchezar M and Do, Anh and Du, Jiawen and Dupont, Charles T and Edwards, Todd L and Evans, Michele K and Faquih, Tariq and Felix, Stephan B and Fisher-Hoch, Susan P and Floyd, James S and Graff, Mariaelisa and Gu, Charles and Gu, Dongfeng and Hairston, Kristen G and Hanley, Anthony J and Heid, Iris M and Heikkinen, Sami and Highland, Heather M and Hood, Michelle M and K{\"a}h{\"o}nen, Mika and Karvonen-Gutierrez, Carrie A and Kawaguchi, Takahisa and Kazuya, Setoh and Kelly, Tanika N and Komulainen, Pirjo and Levy, Daniel and Lin, Henry J and Liu, Peter Y and Marques-Vidal, Pedro and McCormick, Joseph B and Mei, Hao and Meigs, James B and Menni, Cristina and Nam, Kisung and Nolte, Ilja M and Pacheco, Natasha L and Petty, Lauren E and Polikowsky, Hannah G and Province, Michael A and Psaty, Bruce M and Raffield, Laura M and Raitakari, Olli T and Rich, Stephen S and Riha, Renata L and Risch, Lorenz and Risch, Martin and Ruiz-Narvaez, Edward A and Scott, Rodney J and Sitlani, Colleen M and Smith, Jennifer A and Sofer, Tamar and Teder-Laving, Maris and V{\"o}lker, Uwe and Vollenweider, Peter and Wang, Guanchao and van Dijk, Ko Willems and Wilson, Otis D and Xia, Rui and Yao, Jie and Young, Kristin L and Zhang, Ruiyuan and Zhu, Xiaofeng and Below, Jennifer E and B{\"o}ger, Carsten A and Conen, David and Cox, Simon R and D{\"o}rr, Marcus and Feitosa, Mary F and Fox, Ervin R and Franceschini, Nora and Gharib, Sina A and Gudnason, Vilmundur and Harlow, Sioban D and He, Jiang and Holliday, Elizabeth G and Kutalik, Zolt{\'a}n and Lakka, Timo A and Lawlor, Deborah A and Lee, Seunggeun and Lehtim{\"a}ki, Terho and Li, Changwei and Liu, Ching-Ti and M{\"a}gi, Reedik and Matsuda, Fumihiko and Morrison, Alanna C and Penninx, Brenda Wjh and Peyser, Patricia A and Rotter, Jerome I and Snieder, Harold and Spector, Tim D and Wagenknecht, Lynne E and Wareham, Nicholas J and Zonderman, Alan B and North, Kari E and Fornage, Myriam and Hung, Adriana M and Manning, Alisa K and Gauderman, James and Chen, Han and Munroe, Patricia B and Rao, Dabeeru C and van Heemst, Diana and Redline, Susan and Noordam, Raymond and Wang, Heming} } @article {9578, title = {Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance.}, journal = {Alzheimers Res Ther}, volume = {16}, year = {2024}, month = {2024 Jan 20}, pages = {14}, abstract = {

BACKGROUND: Uncovering the functional relevance underlying verbal declarative memory (VDM) genome-wide association study (GWAS) results may facilitate the development of interventions to reduce age-related memory decline and dementia.

METHODS: We performed multi-omics and pathway enrichment analyses of paragraph (PAR-dr) and word list (WL-dr) delayed recall GWAS from 29,076 older non-demented individuals of European descent. We assessed the relationship between single-variant associations and expression quantitative trait loci (eQTLs) in 44 tissues and methylation quantitative trait loci (meQTLs) in the hippocampus. We determined the relationship between gene associations and transcript levels in 53 tissues, annotation as immune genes, and regulation by transcription factors (TFs) and microRNAs. To identify significant pathways, gene set enrichment was tested in each cohort and meta-analyzed across cohorts. Analyses of differential expression in brain tissues were conducted for pathway component genes.

RESULTS: The single-variant associations of VDM showed significant linkage disequilibrium (LD) with eQTLs across all tissues and meQTLs within the hippocampus. Stronger WL-dr gene associations correlated with reduced expression in four brain tissues, including the hippocampus. More robust PAR-dr and/or WL-dr gene associations were intricately linked with immunity and were influenced by 31 TFs and 2 microRNAs. Six pathways, including type I diabetes, exhibited significant associations with both PAR-dr and WL-dr. These pathways included fifteen MHC genes intricately linked to VDM performance, showing diverse expression patterns based on cognitive status in brain tissues.

CONCLUSIONS: VDM genetic associations influence expression regulation via eQTLs and meQTLs. The involvement of TFs, microRNAs, MHC genes, and immune-related pathways contributes to VDM performance in older individuals.

}, keywords = {Aged, Cognition, Genome-Wide Association Study, Humans, Memory, MicroRNAs, Multiomics, Polymorphism, Single Nucleotide}, issn = {1758-9193}, doi = {10.1186/s13195-023-01376-6}, author = {Mei, Hao and Simino, Jeannette and Li, Lianna and Jiang, Fan and Bis, Joshua C and Davies, Gail and Hill, W David and Xia, Charley and Gudnason, Vilmundur and Yang, Qiong and Lahti, Jari and Smith, Jennifer A and Kirin, Mirna and De Jager, Philip and Armstrong, Nicola J and Ghanbari, Mohsen and Kolcic, Ivana and Moran, Christopher and Teumer, Alexander and Sargurupremraj, Murali and Mahmud, Shamsed and Fornage, Myriam and Zhao, Wei and Satizabal, Claudia L and Polasek, Ozren and R{\"a}ikk{\"o}nen, Katri and Liewald, David C and Homuth, Georg and Callisaya, Michele and Mather, Karen A and Windham, B Gwen and Zemunik, Tatijana and Palotie, Aarno and Pattie, Alison and van der Auwera, Sandra and Thalamuthu, Anbupalam and Knopman, David S and Rudan, Igor and Starr, John M and Wittfeld, Katharina and Kochan, Nicole A and Griswold, Michael E and Vitart, Veronique and Brodaty, Henry and Gottesman, Rebecca and Cox, Simon R and Psaty, Bruce M and Boerwinkle, Eric and Chasman, Daniel I and Grodstein, Francine and Sachdev, Perminder S and Srikanth, Velandai and Hayward, Caroline and Wilson, James F and Eriksson, Johan G and Kardia, Sharon L R and Grabe, Hans J and Bennett, David A and Ikram, M Arfan and Deary, Ian J and van Duijn, Cornelia M and Launer, Lenore and Fitzpatrick, Annette L and Seshadri, Sudha and Bressler, Jan and Debette, Stephanie and Mosley, Thomas H} }